diff --git a/DESCRIPTION b/DESCRIPTION index ed8b6f5..1245a66 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: leaflegend Type: Package Title: Add Custom Legends to 'leaflet' Maps -Version: 1.1.5 +Version: 1.2.0 Authors@R: c( person("Thomas", "Roh", email = "thomas@roh.engineering", role = c("aut", "cre")), person("Ricardo Rodrigo", "Basa", email = "radbasa@gmail.com", role = c("ctb"))) diff --git a/NEWS.md b/NEWS.md index 7e49696..fca753d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# leaflegend 1.1.10 +# leaflegend 1.2.0 * `addLegendNumeric` gains `labelStyle` argument and significant improvements to the layout that will handle larger font sizes and long text widths. diff --git a/_pkgdown.yml b/_pkgdown.yml index 93a1d7e..48d330b 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -13,15 +13,8 @@ template: base_font: {google: "Ubuntu"} heading_font: {google: "Raleway"} code_font: {google: "Fira Code"} - navbar: - type: light - docsearch: - api_key: 89d2953b5dfa27a60dd7d7bec9e087fa - index_name: roh params: ganalytics: G-FEY7F5BR1Z - opengraph: - twitter: - creator: "@rstatengineer" - card: summary_large_image - +navbar: + bg: primary + type: light diff --git a/docs/404.html b/docs/404.html index edcfad2..47b6016 100644 --- a/docs/404.html +++ b/docs/404.html @@ -36,11 +36,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 70d7cfe..f016424 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/LICENSE.html b/docs/LICENSE.html index b745606..a291db1 100644 --- a/docs/LICENSE.html +++ b/docs/LICENSE.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/authors.html b/docs/authors.html index a9fd8c8..7e107ec 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -66,14 +66,14 @@ Authors Citation Source: DESCRIPTION - Roh T (2023). + Roh T (2024). leaflegend: Add Custom Legends to 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend. @Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, - year = {2023}, + year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, } diff --git a/docs/index.html b/docs/index.html index 5672cd8..2371519 100644 --- a/docs/index.html +++ b/docs/index.html @@ -42,11 +42,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/news/index.html b/docs/news/index.html index f057cb8..ca8ad06 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -51,7 +51,7 @@ -leaflegend 1.1.10 +leaflegend 1.2.0 addLegendNumeric gains labelStyle argument and significant improvements to the layout that will handle larger font sizes and long text widths. added stacked argument to addLegendSize to allow size legends that are more compact when symbols are overlayed. See examples in ?addLegendSize. groups can now have underscores in their name for show/hide functionality. diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index c90f35a..a7088e3 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.1 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2023-10-03T15:18Z +last_built: 2024-01-04T18:03Z urls: reference: https://leaflegend.roh.engineering/reference article: https://leaflegend.roh.engineering/articles diff --git a/docs/reference/addLeafLegends.html b/docs/reference/addLeafLegends.html index 59a3d20..67cf895 100644 --- a/docs/reference/addLeafLegends.html +++ b/docs/reference/addLeafLegends.html @@ -22,11 +22,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -312,8 +312,8 @@ Examples width = 20 ) %>% addLegend(pal = numPal, values = quakes$depth, title = 'addLegend') - - + + # Quantile Legend # defaults to adding quantile numeric break points @@ -343,8 +343,8 @@ Examples numberFormat = NULL, shape = 'circle') %>% addLegend(pal = quantPal, values = quakes$mag, title = 'addLegend') - - + + # Factor Legend # Style the title with html tags, several shapes are supported drawn with svg @@ -373,8 +373,8 @@ Examples addLegend(pal = factorPal, values = quakes$group, title = 'addLegend') - - + + # Bin Legend # Restyle the text of the labels, change the legend item orientation @@ -399,8 +399,8 @@ Examples addLegend(pal = binPal, values = quakes$mag, title = 'addLegend') - - + + # Group Layer Control # Works with baseGroups and overlayGroups @@ -432,8 +432,8 @@ Examples baseGroups = c('Numeric Data', 'Quantile'), overlayGroups = c('Bin'), position = 'bottomright' ) - - + + diff --git a/docs/reference/addLegendAwesomeIcon.html b/docs/reference/addLegendAwesomeIcon.html index 99a7d91..be43206 100644 --- a/docs/reference/addLegendAwesomeIcon.html +++ b/docs/reference/addLegendAwesomeIcon.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -157,8 +157,8 @@ Examples style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') - - + + diff --git a/docs/reference/addLegendImage.html b/docs/reference/addLegendImage.html index b3a2e4f..0a25266 100644 --- a/docs/reference/addLegendImage.html +++ b/docs/reference/addLegendImage.html @@ -20,11 +20,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -167,8 +167,8 @@ Examples style = 'font-size: 24px; text-align: center;'), position = 'topright') - - + + # use raster images with size encodings height <- sizeNumeric(quakes$depth, baseSize = 40) width <- height * 38 / 95 @@ -190,8 +190,8 @@ Examples 'Leaf', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), position = 'topright', orientation = 'vertical') - - + + diff --git a/docs/reference/availableShapes.html b/docs/reference/availableShapes.html index a02ab54..1cc4451 100644 --- a/docs/reference/availableShapes.html +++ b/docs/reference/availableShapes.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/reference/index.html b/docs/reference/index.html index 5cd6fb5..6a96c89 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/reference/legendSymbols.html b/docs/reference/legendSymbols.html index 640149d..4ec4258 100644 --- a/docs/reference/legendSymbols.html +++ b/docs/reference/legendSymbols.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 @@ -273,8 +273,8 @@ Examples orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) - - + + # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( @@ -304,8 +304,8 @@ Examples color = 'black', baseSize = 20, breaks = 5) - - + + # Group layers control leaflet() %>% addTiles() %>% @@ -320,21 +320,14 @@ Examples breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) - - + + # Polyline Legend for Size baseSize <- 10 lineColor <- '#00000080' pal <- colorNumeric('Reds', atlStorms2005$MinPress) #> Loading required package: sp -#> The legacy packages maptools, rgdal, and rgeos, underpinning the sp package, -#> which was just loaded, will retire in October 2023. -#> Please refer to R-spatial evolution reports for details, especially -#> https://r-spatial.org/r/2023/05/15/evolution4.html. -#> It may be desirable to make the sf package available; -#> package maintainers should consider adding sf to Suggests:. -#> The sp package is now running under evolution status 2 -#> (status 2 uses the sf package in place of rgdal) +#> Warning: package 'sp' was built under R version 4.3.2 leaflet() %>% addTiles() %>% addPolylines(data = atlStorms2005, @@ -349,8 +342,8 @@ Examples addLegendNumeric(pal = pal, title = 'MinPress', values = atlStorms2005$MinPress) - - + + # Stacked Legends leaflet(quakes) %>% addTiles() %>% @@ -373,8 +366,8 @@ Examples position = 'bottomleft', stacked = TRUE, breaks = 5) - - + + diff --git a/docs/reference/mapSymbols.html b/docs/reference/mapSymbols.html index 3f2ea08..e0441bf 100644 --- a/docs/reference/mapSymbols.html +++ b/docs/reference/mapSymbols.html @@ -12,11 +12,11 @@ Skip to contents - + leaflegend - 1.1.5 + 1.2.0 diff --git a/docs/search.json b/docs/search.json index 2542af1..f297d3b 100644 --- a/docs/search.json +++ b/docs/search.json @@ -1 +1 @@ -[{"path":"https://leaflegend.roh.engineering/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Thomas Roh. Author, maintainer. Ricardo Rodrigo Basa. Contributor.","code":""},{"path":"https://leaflegend.roh.engineering/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Roh T (2023). leaflegend: Add Custom Legends 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.","code":"@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, year = {2023}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }"},{"path":"https://leaflegend.roh.engineering/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Thomas P. Roh Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"leaflegend-","dir":"","previous_headings":"","what":"Add Custom Legends to leaflet Maps","title":"Add Custom Legends to leaflet Maps","text":"package provides extensions leaflet package customize leaflet legends without adding outside css file output style legends. legend extensions allow user add images legends, style labels legend items, change orientation legend items, use different symbologies, style axis ticks. Syntax style consistent leaflet package. Helper functions provided create map symbols plotting well.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Add Custom Legends to leaflet Maps","text":"can install released version leaflegend CRAN : Install development version :","code":"install.packages(\"leaflegend\") devtools::install_github(\"tomroh/leaflegend\")"},{"path":"https://leaflegend.roh.engineering/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Add Custom Legends to leaflet Maps","text":"Introduction leaflegend Map Symbols Size Legends Awesome Marker Legends leaflegend Recipes","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"map-symbols","dir":"","previous_headings":"","what":"Map Symbols","title":"Add Custom Legends to leaflet Maps","text":"default pch","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Add Custom Legends to leaflet Maps","text":"Use addLegend*() create easily customizable legends leaflet.","code":"library(leaflet) library(leaflegend) set.seed(21) data(\"gadmCHE\") gadmCHE@data$x <- sample(c('A', 'B', 'C'), nrow(gadmCHE@data), replace = TRUE) factorPal <- colorFactor(c('#1f77b4', '#ff7f0e' , '#2ca02c'), gadmCHE@data$x) n <- 10 awesomeMarkers <- data.frame( marker = sample(c('Font Awesome', 'Ionic', 'Glyphicon'), n, replace = TRUE), lng = runif(n, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) n2 <- 30 symbolMarkers <- data.frame( x = runif(n2, 0, 100), y = runif(n2, 10, 30), lng = runif(n2, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n2, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) numericPal <- colorNumeric(hcl.colors(10, palette = 'zissou'), symbolMarkers$y) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'rgb(192, 255, 0)', markerColor = 'lightgray', squareMarker = TRUE, iconRotate = 30 ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = 'gold', markerColor = 'gray', squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = '#ffffff', markerColor = 'black', squareMarker = FALSE) ) leaflet() |> addTiles() |> addPolygons(data = gadmCHE, color = ~factorPal(x), fillOpacity = .5, opacity = 0, group = 'Polygons') |> addLegendFactor(pal = factorPal, shape = 'polygon', fillOpacity = .5, opacity = 0, values = ~x, title = 'addLegendFactor', position = 'topright', data = gadmCHE, group = 'Polygons') |> addAwesomeMarkers(data = awesomeMarkers, lat = ~lat, lng = ~lng, icon = ~iconSet[marker], group = 'Awesome Icons') |> addLegendAwesomeIcon(iconSet = iconSet, title = 'addLegendAwesomeIcon', position = 'bottomleft', group = 'Awesome Icons') |> addSymbolsSize(data = symbolMarkers, fillOpacity = .7, shape = 'plus', values = ~x, lat = ~lat, lng = ~lng, baseSize = 20, fillColor = ~numericPal(y), color = 'black', group = 'Symbols') |> addLegendSize(pal = numericPal, shape = 'plus', color = 'black', fillColor = 'transparent', baseSize = 20, fillOpacity = .7, values = ~x, orientation = 'horizontal', title = 'addSizeLegend', position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLegendNumeric(pal = numericPal, values = ~y, title = 'addLegendNumeric', orientation = 'horizontal', fillOpacity = .7, width = 150, height = 20, position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLayersControl(overlayGroups = c('Polygons', 'Awesome Icons', 'Symbols'), position = 'topleft', options = layersControlOptions(collapsed = FALSE))"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"Add legend sizing symbols width lines","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"addLegendSize( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 20, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", stacked = FALSE, data = leaflet::getMapData(map), ... ) addLegendLine( map, pal, values, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), width = 20, color, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 10, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendSymbol( map, pal, values, title = NULL, labelStyle = \"\", shape, orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, width = 20, height = width, group = NULL, className = \"info legend leaflet-control\", dashArray = NULL, data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate sizes colorValues specified pal given, values used generate colors palette function title legend title, pass HTML style labelStyle character string style argument HTML text shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally color color legend symbols, omitted pal used fillColor fill color symbol strokeWidth width symbol outline opacity opacity legend items fillOpacity fill opacity legend items breaks integer specifying number breaks numeric vector breaks baseSize re-scaling size pixels mean values, average value exact size numberFormat formatting functions numbers displayed e.g. format, prettyNum group group name leaflet layer group className extra CSS class append control, space separated stacked TRUE, symbols overlayed onto compact size legend data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl addLegendSize pretty sizeBreaks makeSymbol makeSymbolsSize width width pixels lines height pixels dashArray string vector/list strings defines stroke dash pattern","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"library(leaflet) data(\"quakes\") quakes <- quakes[1:100,] numPal <- colorNumeric('viridis', quakes$depth) sizes <- sizeNumeric(quakes$depth, baseSize = 10) symbols <- Map( makeSymbol, shape = 'triangle', color = numPal(quakes$depth), width = sizes, height = sizes ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = icons(iconUrl = symbols), lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( quakes$depth, shape = 'cross', fillColor = numPal(quakes$depth), color = 'black', strokeWidth = 1, opacity = .8, fillOpacity = .5, baseSize = 20 ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = sizeSymbols, lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', shape = 'cross', orientation = 'horizontal', strokeWidth = 1, opacity = .8, fillOpacity = .5, color = 'black', baseSize = 20, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/span>\\n\\n \\n 200<\\/span>\\n<\\/span>\\n\\n \\n 300<\\/span>\\n<\\/span>\\n\\n \\n 400<\\/span>\\n<\\/span>\\n\\n \\n 500<\\/span>\\n<\\/span>\\n\\n \\n 600<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # Group layers control leaflet() %>% addTiles() %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control leaflegend-group-Depth\"]},{\"method\":\"addLayersControl\",\"args\":[[],\"Depth\",{\"collapsed\":true,\"autoZIndex\":true,\"position\":\"topright\"}]}]},\"evals\":[],\"jsHooks\":{\"render\":[{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null}]}} # Polyline Legend for Size baseSize <- 10 lineColor <- '#00000080' pal <- colorNumeric('Reds', atlStorms2005$MinPress) #> Loading required package: sp #> The legacy packages maptools, rgdal, and rgeos, underpinning the sp package, #> which was just loaded, will retire in October 2023. #> Please refer to R-spatial evolution reports for details, especially #> https://r-spatial.org/r/2023/05/15/evolution4.html. #> It may be desirable to make the sf package available; #> package maintainers should consider adding sf to Suggests:. #> The sp package is now running under evolution status 2 #> (status 2 uses the sf package in place of rgdal) leaflet() %>% addTiles() %>% addPolylines(data = atlStorms2005, weight = ~sizeNumeric(values = MaxWind, baseSize = baseSize), color = ~pal(MinPress), popup = ~as.character(MaxWind)) %>% addLegendLine(values = atlStorms2005$MaxWind, title = 'MaxWind', baseSize = baseSize, width = 50, color = lineColor) %>% addLegendNumeric(pal = pal, title = 'MinPress', values = atlStorms2005$MinPress) 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MaxWind<\\/strong>\\n<\\/div>\\n\\n \\n 20<\\/span>\\n<\\/div>\\n\\n \\n 40<\\/span>\\n<\\/div>\\n\\n \\n 60<\\/span>\\n<\\/div>\\n\\n \\n 80<\\/span>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 120<\\/span>\\n<\\/div>\\n\\n \\n 140<\\/span>\\n<\\/div>\\n\\n \\n 160<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n MinPress<\\/strong>\\n<\\/div>\\n\\n \\n 1,000<\\/p>\\n 980<\\/p>\\n 960<\\/p>\\n 940<\\/p>\\n 920<\\/p>\\n 900<\\/p>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[10.7,68.8],\"lng\":[-101.4,6.6]}},\"evals\":[],\"jsHooks\":[]} # Stacked Legends leaflet(quakes) %>% addTiles() %>% addSymbolsSize(values = ~10^(mag), lat = ~lat, lng = ~long, shape = 'circle', color = 'black', fillColor = 'red', opacity = 1, baseSize = 5) |> addLegendSize( values = ~10^(mag), title = 'Magnitude', baseSize = 5, shape = 'circle', color = 'black', fillColor = 'red', labelStyle = 'font-size: 18px;', position = 'bottomleft', stacked = TRUE, breaks = 5) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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\\n 200,000<\\/p>\\n 400,000<\\/p>\\n 600,000<\\/p>\\n 800,000<\\/p>\\n 1,000,000<\\/p>\\n 1,200,000<\\/p>\\n<\\/div>\",\"bottomleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Map Symbols for 'leaflet' maps — mapSymbols","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"Create Map Symbols 'leaflet' maps","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"","code":"makeSymbol( shape, width, height = width, color, fillColor = color, opacity = 1, fillOpacity = opacity, ... ) makeSvgUri(svg, width, height, strokeWidth) makeSymbolIcons( shape, color, fillColor = color, opacity, fillOpacity = opacity, strokeWidth = 1, width, height = width, ... ) addSymbols( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, width = 20, height = width, dashArray = NULL, data = leaflet::getMapData(map), ... ) addSymbolsSize( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize = 20, data = leaflet::getMapData(map), ... ) sizeNumeric(values, baseSize) sizeBreaks(values, breaks, baseSize, ...) makeSymbolsSize( values, shape = \"rect\", color, fillColor, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize, ... )"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"shape desired shape symbol, See availableShapes width pixels height pixels color stroke color fillColor fill color opacity stroke opacity fillOpacity fill opacity ... arguments pass pretty svg inner svg tags symbol strokeWidth stroke width pixels map map widget object created 'leaflet' lng numeric vector longitudes, one-sided formula form ~x x variable data; default (explicitly provided), automatically inferred data looking column named lng, long, longitude (case-insensitively) lat vector latitudes formula (similar lng argument; names lat latitude used guessing latitude column data) values values used generate shapes; can omitted single type shape dashArray string vector/list strings defines stroke dash pattern data data object argument values derived; default, data object provided leaflet() initially, can overridden baseSize re-scaling size pixels mean values, average value exact size breaks integer specifying number breaks numeric vector breaks; named vector names used labels.","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"HTML svg element","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a Legend with Images — addLegendImage","title":"Add a Legend with Images — addLegendImage","text":"Creates legend images embedded 'leaflet' map images need packaged saving 'leaflet' map HTML. Full control label title style. 'leaflet' map passed output control legend fully integrated functionalities.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a Legend with Images — addLegendImage","text":"","code":"addLegendImage( map, images, labels, title = NULL, labelStyle = \"font-size: 24px; vertical-align: middle;\", orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 20, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a Legend with Images — addLegendImage","text":"map map widget object created 'leaflet' images path image file labels labels image title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally width pixels height pixels group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a Legend with Images — addLegendImage","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a Legend with Images — addLegendImage","text":"","code":"library(leaflet) data(quakes) quakes1 <- quakes[1:10,] colors <- c('blue', 'red', 'yellow', 'green', 'orange', 'purple') i <- as.integer(cut(quakes$mag, breaks = quantile(quakes$mag, seq(0,1,1/6)), include.lowest = TRUE)) leafImg <- system.file(sprintf('img/leaf-%s.png', colors), package = 'leaflegend') leafIcons <- icons( iconUrl = leafImg[i], iconWidth = 133/236 * 50, iconHeight = 50 ) leaflet(data = quakes) %>% addTiles() %>% addMarkers(~long, ~lat, icon = leafIcons) %>% addLegendImage(images = leafImg, labels = colors, width = 133/236 * 50, height = 50, orientation = 'vertical', title = htmltools::tags$div('Leaf', style = 'font-size: 24px; text-align: center;'), position = 'topright') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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Leaf<\\/div>\\n<\\/div>\\n\\n \\n blue<\\/span>\\n<\\/div>\\n\\n \\n red<\\/span>\\n<\\/div>\\n\\n \\n yellow<\\/span>\\n<\\/div>\\n\\n \\n green<\\/span>\\n<\\/div>\\n\\n \\n orange<\\/span>\\n<\\/div>\\n\\n \\n purple<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # use raster images with size encodings height <- sizeNumeric(quakes$depth, baseSize = 40) width <- height * 38 / 95 symbols <- icons( iconUrl = leafImg[4], iconWidth = width, iconHeight = height) probs <- c(.2, .4, .6, .8) leaflet(quakes) %>% addTiles() %>% addMarkers(icon = symbols, lat = ~lat, lng = ~long) %>% addLegendImage( images = rep(leafImg[4], 4), labels = round(quantile(height, probs = probs), 0), width = quantile(height, probs = probs) * 38 / 95, height = quantile(height, probs = probs), title = htmltools::tags$div( 'Leaf', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), position = 'topright', orientation = 'vertical') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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Leaf<\\/div>\\n<\\/div>\\n\\n \\n 10<\\/span>\\n<\\/div>\\n\\n \\n 24<\\/span>\\n<\\/div>\\n\\n \\n 51<\\/span>\\n<\\/div>\\n\\n \\n 72<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend with Awesome Icons — addLegendAwesomeIcon","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"Add legend Awesome Icons","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"addLegendAwesomeIcon( map, iconSet, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), marker = TRUE, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"map map widget object created 'leaflet' iconSet named list awesomeIconList, names labels legend title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally marker whether show marker icon group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"library(leaflet) data(quakes) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'gold', markerColor = 'red', spin = FALSE, squareMarker = TRUE, iconRotate = 30, ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = '#ffffff', markerColor = 'blue', spin = TRUE, squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = 'rgb(192, 255, 0)', markerColor = 'darkpurple', spin = TRUE, squareMarker = FALSE) ) leaflet(quakes[1:3,]) %>% addTiles() %>% addAwesomeMarkers(lat = ~lat, lng = ~long, icon = iconSet) %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'horizontal', title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'vertical', marker = FALSE, title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addAwesomeMarkers\",\"args\":[[-20.42,-20.62,-26],[181.62,181.03,184.1],{\"icon\":[\"font-awesome\",\"ionic\",\"plus-sign\"],\"markerColor\":[\"red\",\"blue\",\"darkpurple\"],\"iconColor\":[\"gold\",\"#ffffff\",\"rgb(192, 255, 0)\"],\"spin\":[false,true,true],\"squareMarker\":[true,false,false],\"iconRotate\":[30,0,0],\"prefix\":[\"fa\",\"ion\",\"glyphicon\"]},null,null,{\"interactive\":true,\"draggable\":false,\"keyboard\":true,\"title\":\"\",\"alt\":\"\",\"zIndexOffset\":0,\"opacity\":1,\"riseOnHover\":false,\"riseOffset\":250},null,null,null,null,null,{\"interactive\":false,\"permanent\":false,\"direction\":\"auto\",\"opacity\":1,\"offset\":[0,0],\"textsize\":\"10px\",\"textOnly\":false,\"className\":\"\",\"sticky\":true},null]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-26,-20.42],\"lng\":[181.03,184.1]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"Functions control styling 'leaflet' legends. 'leaflet' map passed output 'leaflet' control legends integrated functionality API. Style text labels, symbols used, orientation legend items, sizing elements.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"addLegendNumeric( map, pal, values, title = NULL, shape = c(\"rect\", \"stadium\"), orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 100, bins = 7, numberFormat = function(x) { prettyNum(x, format = \"f\", big.mark = \",\", digits = 3, scientific = FALSE) }, tickLength = 4, tickWidth = 1, decreasing = FALSE, fillOpacity = 1, group = NULL, labels = NULL, naLabel = \"NA\", labelStyle = \"\", className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendQuantile( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendBin( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { format(round(x, 3), big.mark = \",\", trim = TRUE, scientific = FALSE) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendFactor( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate colors palette function title legend title, pass HTML style shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally width pixels height pixels bins approximate number tick-marks color gradient colorNumeric palette numberFormat formatting functions numbers displayed e.g. format, prettyNum tickLength pixels tickWidth pixels decreasing order numbers legend fillOpacity fill opacity legend items group group name leaflet layer group labels labels naLabel legend label NAs values labelStyle character string style argument HTML text className extra CSS class append control, space separated data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl opacity opacity legend items separator legend range labels","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"library(leaflet) data(quakes) # Numeric Legend numPal <- colorNumeric('viridis', quakes$depth) leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric (Horizontal)', orientation = 'horizontal', shape = 'rect', decreasing = FALSE, height = 20, width = 100 ) %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = htmltools::tags$div('addLegendNumeric (Decreasing)', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), orientation = 'vertical', shape = 'stadium', decreasing = TRUE, height = 100, width = 20 ) %>% addLegend(pal = numPal, values = quakes$depth, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Horizontal)<\\/strong>\\n<\\/div>\\n\\n \\n 680<\\/p>\\n 40<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Decreasing)<\\/div>\\n<\\/div>\\n\\n \\n 100<\\/p>\\n 200<\\/p>\\n 300<\\/p>\\n 400<\\/p>\\n 500<\\/p>\\n 600<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154 , #482374 9.375%, #3B528B 25%, #297A8E 40.625%, #1F9F88 56.25%, #4DC26C 71.875%, #AADC32 87.5%, #FDE725 \"],\"labels\":[\"100\",\"200\",\"300\",\"400\",\"500\",\"600\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"numeric\",\"title\":\"addLegend\",\"extra\":{\"p_1\":0.09375,\"p_n\":0.875},\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}]},\"evals\":[],\"jsHooks\":[]} # Quantile Legend # defaults to adding quantile numeric break points quantPal <- colorQuantile('viridis', quakes$mag, n = 5) leaflet() %>% addTiles() %>% addCircleMarkers(data = quakes, lat = ~lat, lng = ~long, color = ~quantPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', numberFormat = function(x) {prettyNum(x, big.mark = ',', scientific = FALSE, digits = 2)}, shape = 'circle') %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = htmltools::tags$div('addLegendQuantile', htmltools::tags$br(), '(Omit Numbers)'), numberFormat = NULL, shape = 'circle') %>% addLegend(pal = quantPal, values = quakes$mag, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4.3)<\\/span>\\n\\n\\n 20% - 40% (4.3 - 4.5)<\\/span>\\n\\n\\n 40% - 60% (4.5 - 4.7)<\\/span>\\n\\n\\n 60% - 80% (4.7 - 4.9)<\\/span>\\n\\n\\n 80% - 100% (4.9 - 6.4)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n \\n addLegendQuantile\\n \\n (Omit Numbers)\\n <\\/div>\\n<\\/div>\\n\\n 0% - 20%<\\/span>\\n\\n\\n 20% - 40%<\\/span>\\n\\n\\n 40% - 60%<\\/span>\\n\\n\\n 60% - 80%<\\/span>\\n\\n\\n 80% - 100%<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154\",\"#3B528B\",\"#21908D\",\"#5DC863\",\"#FDE725\"],\"labels\":[\"0% – 20%<\\/span>\",\"20% – 40%<\\/span>\",\"40% – 60%<\\/span>\",\"60% – 80%<\\/span>\",\"80% – 100%<\\/span>\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"quantile\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Factor Legend # Style the title with html tags, several shapes are supported drawn with svg quakes[['group']] <- sample(c('A', 'B', 'C'), nrow(quakes), replace = TRUE) factorPal <- colorFactor('Dark2', quakes$group) leaflet() %>% addTiles() %>% addCircleMarkers( data = quakes, lat = ~ lat, lng = ~ long, color = ~ factorPal(group), opacity = 1, fillOpacity = 1 ) %>% addLegendFactor( pal = factorPal, title = htmltools::tags$div('addLegendFactor', style = 'font-size: 24px; color: red;'), values = quakes$group, position = 'topright', shape = 'triangle', width = 50, height = 50 ) %>% addLegend(pal = factorPal, values = quakes$group, title = 'addLegend') 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addLegendFactor<\\/div>\\n<\\/div>\\n\\n A<\\/span>\\n\\n\\n B<\\/span>\\n\\n\\n C<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#1B9E77\",\"#D95F02\",\"#7570B3\"],\"labels\":[\"A\",\"B\",\"C\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"factor\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Bin Legend # Restyle the text of the labels, change the legend item orientation binPal <- colorBin('Set1', quakes$mag) leaflet(quakes) %>% addTiles() %>% addCircleMarkers( lat = ~ lat, lng = ~ long, color = ~ binPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendBin( pal = binPal, position = 'topright', values = ~mag, title = 'addLegendBin', labelStyle = 'font-size: 18px; font-weight: bold;', orientation = 'horizontal' ) %>% 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addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n 4.5 - 5.0<\\/span>\\n\\n 5.0 - 5.5<\\/span>\\n\\n 5.5 - 6.0<\\/span>\\n\\n 6.0 - 6.5<\\/span>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#E41A1C\",\"#377EB8\",\"#4DAF4A\",\"#984EA3\",\"#FF7F00\"],\"labels\":[\"4.0 – 4.5\",\"4.5 – 5.0\",\"5.0 – 5.5\",\"5.5 – 6.0\",\"6.0 – 6.5\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"bin\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Group Layer Control # Works with baseGroups and overlayGroups leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric', group = 'Numeric Data' ) %>% addLegendQuantile( pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', group = 'Quantile' ) %>% addLegendBin( data = quakes, pal = binPal, position = 'bottomleft', title = 'addLegendBin', group = 'Bin', values = ~mag ) %>% addLayersControl( baseGroups = c('Numeric Data', 'Quantile'), overlayGroups = c('Bin'), position = 'bottomright' ) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric<\\/strong>\\n<\\/div>\\n\\n \\n 600<\\/p>\\n 500<\\/p>\\n 400<\\/p>\\n 300<\\/p>\\n 200<\\/p>\\n 100<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control leaflegend-group-NumericData\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4)<\\/span>\\n\\n\\n 20% - 40% (4 - 4)<\\/span>\\n\\n\\n 40% - 60% (4 - 5)<\\/span>\\n\\n\\n 60% - 80% (5 - 5)<\\/span>\\n\\n\\n 80% - 100% (5 - 6)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control leaflegend-group-Quantile\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n\\n 4.5 - 5.0<\\/span>\\n\\n\\n 5.0 - 5.5<\\/span>\\n\\n\\n 5.5 - 6.0<\\/span>\\n\\n\\n 6.0 - 6.5<\\/span>\\n\",\"bottomleft\",null,\"info legend leaflet-control leaflegend-group-Bin\"]},{\"method\":\"addLayersControl\",\"args\":[[\"Numeric Data\",\"Quantile\"],\"Bin\",{\"collapsed\":true,\"autoZIndex\":true,\"position\":\"bottomright\"}]}]},\"evals\":[],\"jsHooks\":{\"render\":[{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null}]}}"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":null,"dir":"Reference","previous_headings":"","what":"Available shapes for map symbols — availableShapes","title":"Available shapes for map symbols — availableShapes","text":"Available shapes map symbols","code":""},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Available shapes for map symbols — availableShapes","text":"","code":"availableShapes()"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Available shapes for map symbols — availableShapes","text":"list available shapes","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-1110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.10","title":"leaflegend 1.1.10","text":"addLegendNumeric gains labelStyle argument significant improvements layout handle larger font sizes long text widths. added stacked argument addLegendSize allow size legends compact symbols overlayed. See examples ?addLegendSize. groups can now underscores name show/hide functionality. added argument addLegendBin addLegendQuantile users can change dash. fixed issue addSymbols addSymbolsSize worked directly specifying lat lng. now work sf objects. added dashArray argument symbols functions. main purpose allow dashed line encodings, symbols can dashed outer lines.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-111","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.1","title":"leaflegend 1.1.1","text":"CRAN release: 2023-08-19 updating test ‘leaflet’ changes v2.2.0 pch solid symbols 15-20 use color fillColor missing","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.0","title":"leaflegend 1.1.0","text":"CRAN release: 2023-05-04 availableShapes provided convenience look supported symbol names. addLegendFactor, addLegendBin, addLegendQuantile now show symbol missing values exist gain naLabel argument. Label spacing adjustments addLegendNumeric support longer labels. addLegendNumeric gains argument naLabel now shows NA color missing values. addLegendNumeric gains argument labels allows user pass label names numeric breaks. breaks argument addLegendLine addLegendSize now allows user pass named list names labels. makeSymbol makeSymbolIcons can now create map symbols consistent base R pch. shape argument can accept name integer (0-indexed). availableShapes provides list named options.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-100","dir":"Changelog","previous_headings":"","what":"leaflegend 1.0.0","title":"leaflegend 1.0.0","text":"CRAN release: 2022-08-05 new function addLegendSymbol added automatically encode character/factors various map symbols. default argument baseSize addLegendSize changed 20. values argument longer used addLegendBin since necessary causes problems number values less number bins. Updated example README Documentation updated makeSymbols name changed mapSymbols additional functions added . Internal functions renamed match naming conventions. Renamed makeSizeIcons makeSymbolsSize consistent naming conventions. colorValues argument removed. functionality, specify vector color fillColor. Fixed issue image styling missing raster images addLegendImage Added functions automate task creating map symbols. addSymbols create map symbols based character factor vector. addSymbolsSize create map symbols size encoding. Code re-factoring addLegendBin, addLegendQuantile, addLegendFactor grouping values different assembly HTML . Unit tests added cover current functions. Gradient IDs numeric legends now based function call data “name” values. makeSizeIcons default opacity now 1. Adding internal functions add dependencies addLegendAwesomeIcon. Awesome Icons show legends needed HTML dependencies loaded unless addAwesomeIcons included. addLegendAwesomeIcon now check dependencies “leaflet” map include missing. Added error messages invalid width, height, tickWidth, tickLength, strokeWidth arguments. Prior negative values throw errors visual output legends desirable. Ability specify values parameter formula retrieve data argument “leaflet” package. makeSymbolIcons now supports vectorization multiple shape arguments Awesome icons now centered marker addLegendAwesomeIcon adding support text parameter passed addLegendAwesomeIcon. allows svg passed icon.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-061","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.1","title":"leaflegend 0.6.1","text":"CRAN release: 2022-03-03 patching examples use png files leaflet js site since moved. adding leaf images png files examples","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-060","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.0","title":"leaflegend 0.6.0","text":"CRAN release: 2022-01-17 updated layers control handle special characters group name. non-alphanumeric characters removed class names javascript selectors. added better error message missing color pal adding addLegendLine add height encoding size based values","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-050","dir":"Changelog","previous_headings":"","what":"leaflegend 0.5.0","title":"leaflegend 0.5.0","text":"CRAN release: 2021-10-28 updated example README adding addLegendAwesomeIcon function produce legends markers awesome icon libraries adding line polygon symbol adding symbols README","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-040","dir":"Changelog","previous_headings":"","what":"leaflegend 0.4.0","title":"leaflegend 0.4.0","text":"CRAN release: 2021-07-23 fixes error makeSizeLegend fillColor evaluated argument provided adding colorValues argument makeSizeLegend symbols can sized colored different vectors data fixes warning addLegendNumeric shape default vector single value adding number formatting addSizeLegend adding group layer support legends. Use addLayersControl turn /legends added example using raster images size encodings based data","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-030","dir":"Changelog","previous_headings":"","what":"leaflegend 0.3.0","title":"leaflegend 0.3.0","text":"CRAN release: 2021-05-21 stroke outlines shapes now padded stroke cut numeric legends now appropriate sizing text star symbol outline fixed new function makeSizeIcons convenience wrapper size scaled symbols","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-020","dir":"Changelog","previous_headings":"","what":"leaflegend 0.2.0","title":"leaflegend 0.2.0","text":"CRAN release: 2021-02-23 new functions addLegendSize, sizeNumeric, sizeBreaks added allow encoding size symbols. addLegendImage supports multiple height width parameters images want different sizes addLegendImage now supports using svg URI output makeSymbol. supply custom svg URI, add ‘svgURI’ class character vector. added shapes makeSymbol, addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin Control opacity legend shapes addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin makeSymbol now returns embeddable svg","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-010","dir":"Changelog","previous_headings":"","what":"leaflegend 0.1.0","title":"leaflegend 0.1.0","text":"CRAN release: 2021-01-25 Added NEWS.md file track changes package.","code":""}] +[{"path":"https://leaflegend.roh.engineering/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Thomas Roh. Author, maintainer. Ricardo Rodrigo Basa. Contributor.","code":""},{"path":"https://leaflegend.roh.engineering/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Roh T (2024). leaflegend: Add Custom Legends 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.","code":"@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }"},{"path":"https://leaflegend.roh.engineering/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Thomas P. Roh Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"leaflegend-","dir":"","previous_headings":"","what":"Add Custom Legends to leaflet Maps","title":"Add Custom Legends to leaflet Maps","text":"package provides extensions leaflet package customize leaflet legends without adding outside css file output style legends. legend extensions allow user add images legends, style labels legend items, change orientation legend items, use different symbologies, style axis ticks. Syntax style consistent leaflet package. Helper functions provided create map symbols plotting well.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Add Custom Legends to leaflet Maps","text":"can install released version leaflegend CRAN : Install development version :","code":"install.packages(\"leaflegend\") devtools::install_github(\"tomroh/leaflegend\")"},{"path":"https://leaflegend.roh.engineering/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Add Custom Legends to leaflet Maps","text":"Introduction leaflegend Map Symbols Size Legends Awesome Marker Legends leaflegend Recipes","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"map-symbols","dir":"","previous_headings":"","what":"Map Symbols","title":"Add Custom Legends to leaflet Maps","text":"default pch","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Add Custom Legends to leaflet Maps","text":"Use addLegend*() create easily customizable legends leaflet.","code":"library(leaflet) library(leaflegend) set.seed(21) data(\"gadmCHE\") gadmCHE@data$x <- sample(c('A', 'B', 'C'), nrow(gadmCHE@data), replace = TRUE) factorPal <- colorFactor(c('#1f77b4', '#ff7f0e' , '#2ca02c'), gadmCHE@data$x) n <- 10 awesomeMarkers <- data.frame( marker = sample(c('Font Awesome', 'Ionic', 'Glyphicon'), n, replace = TRUE), lng = runif(n, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) n2 <- 30 symbolMarkers <- data.frame( x = runif(n2, 0, 100), y = runif(n2, 10, 30), lng = runif(n2, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n2, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) numericPal <- colorNumeric(hcl.colors(10, palette = 'zissou'), symbolMarkers$y) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'rgb(192, 255, 0)', markerColor = 'lightgray', squareMarker = TRUE, iconRotate = 30 ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = 'gold', markerColor = 'gray', squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = '#ffffff', markerColor = 'black', squareMarker = FALSE) ) leaflet() |> addTiles() |> addPolygons(data = gadmCHE, color = ~factorPal(x), fillOpacity = .5, opacity = 0, group = 'Polygons') |> addLegendFactor(pal = factorPal, shape = 'polygon', fillOpacity = .5, opacity = 0, values = ~x, title = 'addLegendFactor', position = 'topright', data = gadmCHE, group = 'Polygons') |> addAwesomeMarkers(data = awesomeMarkers, lat = ~lat, lng = ~lng, icon = ~iconSet[marker], group = 'Awesome Icons') |> addLegendAwesomeIcon(iconSet = iconSet, title = 'addLegendAwesomeIcon', position = 'bottomleft', group = 'Awesome Icons') |> addSymbolsSize(data = symbolMarkers, fillOpacity = .7, shape = 'plus', values = ~x, lat = ~lat, lng = ~lng, baseSize = 20, fillColor = ~numericPal(y), color = 'black', group = 'Symbols') |> addLegendSize(pal = numericPal, shape = 'plus', color = 'black', fillColor = 'transparent', baseSize = 20, fillOpacity = .7, values = ~x, orientation = 'horizontal', title = 'addSizeLegend', position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLegendNumeric(pal = numericPal, values = ~y, title = 'addLegendNumeric', orientation = 'horizontal', fillOpacity = .7, width = 150, height = 20, position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLayersControl(overlayGroups = c('Polygons', 'Awesome Icons', 'Symbols'), position = 'topleft', options = layersControlOptions(collapsed = FALSE))"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"Add legend sizing symbols width lines","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"addLegendSize( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 20, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", stacked = FALSE, data = leaflet::getMapData(map), ... ) addLegendLine( map, pal, values, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), width = 20, color, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 10, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendSymbol( map, pal, values, title = NULL, labelStyle = \"\", shape, orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, width = 20, height = width, group = NULL, className = \"info legend leaflet-control\", dashArray = NULL, data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate sizes colorValues specified pal given, values used generate colors palette function title legend title, pass HTML style labelStyle character string style argument HTML text shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally color color legend symbols, omitted pal used fillColor fill color symbol strokeWidth width symbol outline opacity opacity legend items fillOpacity fill opacity legend items breaks integer specifying number breaks numeric vector breaks baseSize re-scaling size pixels mean values, average value exact size numberFormat formatting functions numbers displayed e.g. format, prettyNum group group name leaflet layer group className extra CSS class append control, space separated stacked TRUE, symbols overlayed onto compact size legend data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl addLegendSize pretty sizeBreaks makeSymbol makeSymbolsSize width width pixels lines height pixels dashArray string vector/list strings defines stroke dash pattern","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"library(leaflet) data(\"quakes\") quakes <- quakes[1:100,] numPal <- colorNumeric('viridis', quakes$depth) sizes <- sizeNumeric(quakes$depth, baseSize = 10) symbols <- Map( makeSymbol, shape = 'triangle', color = numPal(quakes$depth), width = sizes, height = sizes ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = icons(iconUrl = symbols), lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( quakes$depth, shape = 'cross', fillColor = numPal(quakes$depth), color = 'black', strokeWidth = 1, opacity = .8, fillOpacity = .5, baseSize = 20 ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = sizeSymbols, lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', shape = 'cross', orientation = 'horizontal', strokeWidth = 1, opacity = .8, fillOpacity = .5, color = 'black', baseSize = 20, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/span>\\n\\n \\n 200<\\/span>\\n<\\/span>\\n\\n \\n 300<\\/span>\\n<\\/span>\\n\\n \\n 400<\\/span>\\n<\\/span>\\n\\n \\n 500<\\/span>\\n<\\/span>\\n\\n \\n 600<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # Group layers control leaflet() %>% addTiles() %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n
Source: DESCRIPTION
DESCRIPTION
Roh T (2023). +
Roh T (2024). leaflegend: Add Custom Legends to 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.
@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, - year = {2023}, + year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }
addLegendNumeric gains labelStyle argument and significant improvements to the layout that will handle larger font sizes and long text widths.
addLegendNumeric
labelStyle
added stacked argument to addLegendSize to allow size legends that are more compact when symbols are overlayed. See examples in ?addLegendSize.
stacked
addLegendSize
?addLegendSize
groups can now have underscores in their name for show/hide functionality.
1,000<\\/p>\\n
980<\\/p>\\n
960<\\/p>\\n
940<\\/p>\\n
920<\\/p>\\n
900<\\/p>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[10.7,68.8],\"lng\":[-101.4,6.6]}},\"evals\":[],\"jsHooks\":[]} # Stacked Legends leaflet(quakes) %>% addTiles() %>% addSymbolsSize(values = ~10^(mag), lat = ~lat, lng = ~long, shape = 'circle', color = 'black', fillColor = 'red', opacity = 1, baseSize = 5) |> addLegendSize( values = ~10^(mag), title = 'Magnitude', baseSize = 5, shape = 'circle', color = 'black', fillColor = 'red', labelStyle = 'font-size: 18px;', position = 'bottomleft', stacked = TRUE, breaks = 5) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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\\n 200,000<\\/p>\\n 400,000<\\/p>\\n 600,000<\\/p>\\n 800,000<\\/p>\\n 1,000,000<\\/p>\\n 1,200,000<\\/p>\\n<\\/div>\",\"bottomleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Map Symbols for 'leaflet' maps — mapSymbols","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"Create Map Symbols 'leaflet' maps","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"","code":"makeSymbol( shape, width, height = width, color, fillColor = color, opacity = 1, fillOpacity = opacity, ... ) makeSvgUri(svg, width, height, strokeWidth) makeSymbolIcons( shape, color, fillColor = color, opacity, fillOpacity = opacity, strokeWidth = 1, width, height = width, ... ) addSymbols( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, width = 20, height = width, dashArray = NULL, data = leaflet::getMapData(map), ... ) addSymbolsSize( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize = 20, data = leaflet::getMapData(map), ... ) sizeNumeric(values, baseSize) sizeBreaks(values, breaks, baseSize, ...) makeSymbolsSize( values, shape = \"rect\", color, fillColor, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize, ... )"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"shape desired shape symbol, See availableShapes width pixels height pixels color stroke color fillColor fill color opacity stroke opacity fillOpacity fill opacity ... arguments pass pretty svg inner svg tags symbol strokeWidth stroke width pixels map map widget object created 'leaflet' lng numeric vector longitudes, one-sided formula form ~x x variable data; default (explicitly provided), automatically inferred data looking column named lng, long, longitude (case-insensitively) lat vector latitudes formula (similar lng argument; names lat latitude used guessing latitude column data) values values used generate shapes; can omitted single type shape dashArray string vector/list strings defines stroke dash pattern data data object argument values derived; default, data object provided leaflet() initially, can overridden baseSize re-scaling size pixels mean values, average value exact size breaks integer specifying number breaks numeric vector breaks; named vector names used labels.","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"HTML svg element","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a Legend with Images — addLegendImage","title":"Add a Legend with Images — addLegendImage","text":"Creates legend images embedded 'leaflet' map images need packaged saving 'leaflet' map HTML. Full control label title style. 'leaflet' map passed output control legend fully integrated functionalities.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a Legend with Images — addLegendImage","text":"","code":"addLegendImage( map, images, labels, title = NULL, labelStyle = \"font-size: 24px; vertical-align: middle;\", orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 20, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a Legend with Images — addLegendImage","text":"map map widget object created 'leaflet' images path image file labels labels image title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally width pixels height pixels group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a Legend with Images — addLegendImage","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a Legend with Images — addLegendImage","text":"","code":"library(leaflet) data(quakes) quakes1 <- quakes[1:10,] colors <- c('blue', 'red', 'yellow', 'green', 'orange', 'purple') i <- as.integer(cut(quakes$mag, breaks = quantile(quakes$mag, seq(0,1,1/6)), include.lowest = TRUE)) leafImg <- system.file(sprintf('img/leaf-%s.png', colors), package = 'leaflegend') leafIcons <- icons( iconUrl = leafImg[i], iconWidth = 133/236 * 50, iconHeight = 50 ) leaflet(data = quakes) %>% addTiles() %>% addMarkers(~long, ~lat, icon = leafIcons) %>% addLegendImage(images = leafImg, labels = colors, width = 133/236 * 50, height = 50, orientation = 'vertical', title = htmltools::tags$div('Leaf', style = 'font-size: 24px; text-align: center;'), position = 'topright') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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Leaf<\\/div>\\n<\\/div>\\n\\n \\n blue<\\/span>\\n<\\/div>\\n\\n \\n red<\\/span>\\n<\\/div>\\n\\n \\n yellow<\\/span>\\n<\\/div>\\n\\n \\n green<\\/span>\\n<\\/div>\\n\\n \\n orange<\\/span>\\n<\\/div>\\n\\n \\n purple<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # use raster images with size encodings height <- sizeNumeric(quakes$depth, baseSize = 40) width <- height * 38 / 95 symbols <- icons( iconUrl = leafImg[4], iconWidth = width, iconHeight = height) probs <- c(.2, .4, .6, .8) leaflet(quakes) %>% addTiles() %>% addMarkers(icon = symbols, lat = ~lat, lng = ~long) %>% addLegendImage( images = rep(leafImg[4], 4), labels = round(quantile(height, probs = probs), 0), width = quantile(height, probs = probs) * 38 / 95, height = quantile(height, probs = probs), title = htmltools::tags$div( 'Leaf', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), position = 'topright', orientation = 'vertical') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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dQKYlRlZZmyofpkPW7Pbs+e2gMdIZ5ZUgD0XemLjr5ZhL6HSDGKUoWUhIBCcgiF4t8SMaAmqxqJmay+vst92pzdnOGcxzOebVKM9+1ExZeFRjAjhbToViF6yCvQUSdVRFWoIhQsN3rHe7Otn25N8+H5JcYzTYrNuc1m7+Xem5hLiFHjwcJF7SZFiW5SlOqkQ45ABRMs13sXeitb/9bW/fNKjMppH+AM4B5iy3hbVgvIheyHf54lSbLif8u42yiVkGwzdmssLrDwr+H8xTKeeVIEhUVHbyOaQBuIxiUjzIOFSN12RnX3byNC6d+EHLPosVfH4sKthT/hnNkYzzwpjDcisSnUktS2HXf/6dGVad0So/M35W8IB4KN4/Crw83lW8vvHdf5jwPPPCla7dZWhUrbuA3kJHF/kG/2w4kBxkTjaDkPCu3xN8a35t+b//SIj35seOZJMTg4uLW1tpVjcnRgQnSjDHB1w0CUlBNp5c5b4y+Pr89/Mj91JIc+ZjzT3gfA6qVV9cbet4DLiAlSvKJ0S7tjFY/DnngGkBlnsoJlgkN05r7GYOPueciVhNM+wKljABMxpYTQExuFpbtaBRqBMISYlHTd8vPGz7vhn/ASPUdz8OPDM68++APMq0dypT1eiXEvyT5pF57NTnDYHm2MLi2y+K84wx7JhaR4dVeFlmbid+mFKdVNRgqX9wIjmMtErhs/R+TVydcmv/ddjnzceOZJcX3weoYImNBFiCMhhlAN0weMSroC3AButNT68dAPh0a+49GPDc88Kda31ntsVyxnPBjaflKU0c4KyWjtFxoDriBuELmexezH/PRsqu9nnhSVrUqv5UpwyCQdNTHKrGodGATGgauI68bfG1kYeeUI7nPkeOZJQZ3+QKhartrOhI5ChXSjNDwbiGHjCaFriGvB4c2BHwyMHdF9jgwXpMgZtN1juwZUjMMREqM7s1rD9AqNAJckXYuKVyvVym/wO2crXvTMk8LysFBPYRRWgGB8lN343ZVbPaTOtDHMFcw1zPPjn46/eIT3+8545kkRY5xwcA9QQ1ToSosf8a069oUYNB6XdEXW1byd/9ql1y/1HfH9nhjPNCmuvnW1FzGEaRRFu931mUeJ3eSZULVQI8OYScQVoSstt14/4ns+MZ5pUuy0d0ZkNYxTs8/DK66OCqWbWga2+oFRocsFMV4+K0bnM02KvJVPCvVJ6gV6ij6P43xP9uRHIKkR48uReKlWrf2IMzBd6JkmRSVUrgF9ODUCFcGm7oLd40A3MfqAYaFJocuOvjn+yvjlY7rvgfHskuJVapF4KSr2FcmrHo7PyOzGw7yRUUVNSpqMIb5+zPf/VjyzpBirjE2Qws/9Rfd5jQ4pTgJZUQnewAxZHje+BDx32tLimSWF7RuyBsrOMJI4PylSdBudPYRkdCImJE2ctrR4VkkRjF+wPAj0FzbF/nbBEzmHUAVTxwxixixPIK73/6h//ITO8OChTuvGp4n+H/WPERkGBon07WssPilC7HVRVRid1rjl8Wqz+v0TOscDeCZJ0dhpXEcMIQYt97HXyDxp7Mmk2h6TNR4IL068OtF/Cud5JkkRcvKXQgzDmLJNsCZ0Ep7Hfuyv1OpDDAFjxmPt0H7hBM+yi2eOFH2v9U04eLx483eNzKL977SMuwBUi2Fsg7ZHLY8p6vucQsX9M0eKHvV8LxBGjIeN++mojtN6L3alhfGutAiEUcsTE69OTJz0gZ4tUrxEj6wXjUcwQ0J97FUdp4XuKGddaMDycCCM5MpPvMj3mSLFUGPoGjAKjCAG6aiO07An9kMFOXuAfiLDxaqK7/EqtZM8yDNFiixm3zdOpEj2RJ1OJ9hponusQYpyigHEcHAYKqKvJ4ZnhhRFWvqG8Wi36uBk8h0HRemeJmlhhhDDzv38SR/imUC1Vv0VB48FwmgRn9gfxTxt7HdPG5gB4yHbN0+yjvOZIMX137reUK7vyxozTqrD1E+gfuKw2N8W0E9aPTE48N7AiTUPnaU35NiwsbHxovEYMAYMk+oYumMTZ0FSlBClChG9sgYwg9VK9dJJHeDpJ8VPqSjqVy2PWx4DBosgUak6zhLKuVm7BmcMsV9BA1S4cVKHOGtvypFjaH7oeUmTssZlDWP6jU+qoOaJUEiwilCPrF6gX7ku8VbXjK1jxNNNit8hq1B53dETiHFgCD2QJj9r2B/hbAB9kdg3sDEweBIHeKpJMfzZ8I3oeEXSRBGfKIennlkpUaD0QlKE0+pF9NWz+kGNze8Utn+aSREqsfJ6QYjxoDBEmhdx0mV3h0W3XVEhrZXoFerNQ36QIJbGXx7vvX79+hNPzHlqSTHy6sj1PObXhCYRY5hB9kYwzyopAChaFyuYGqYuqxFi+NZqrOE3h4diTxzaGdoZetJ7P62kCBnZG0KTRZf3iHEZwTyrtkQ3Oo3Jokqgx3LdmUd53Gf2FtXQDNdiHsdz8tGbN2/Wn+TmTyUphl4fej5Xfr2UEtGxO89xHkgB3YEspyU0McbGpdcvNR71C8Obw1clXQqEyzHEifWR9dEnufHTR4qfUqnEyptClyxPCo105TnOCyGgIylS2Nv0BEItq2YPJ8VPqWSV7FdiiFcQV4PDZdpceZIbP3WkGF8cfxFzVeiS7dKWaHC+pEQJYTLjilAtEnu2trd6H/aDY0tjlyLxkpw62QvVef1JRig9XaR4iZ4Y4xsOvmySlDhntkQ3dr0QoYrlaiBUQwgPJUUe85cUNQFcjsRLtieAkYHpgUMbnE8VKUbqIy8DV4BLUASrzp8tAcU5hVKNRVIhFeNqnucPqI/xl8cHspg9b3nCeFLShINHbQ/11HoO3T/y1JBi/OXxgUB4Q9ZlR0+SCmn210ycKxRuqXDRNCQqWSV7oAor1uNzxqOyxoVGgZHgMIQYbLt96BbEMzmy70mQZ/mbQpeAy5LG4XzFJR4DkTragu3M8n5SBOV62cFjwChmGMii4nYg9AeHy3QWTxwIT4WkmHh14rKCfgVzBTEJjBT9HCfZH3pcEE7SIjiEQNiTFJt8bXIiEieLYuRhUii/T1F9kdiHGbz61tVHurEPw/knxe+QtdV+S+iK0GWSLTFo/LRICRAiFK99z9Km/WIgjIQYRkhlAX3FeMZGkTPpbW23DpVIO/ekGP90/EXM81HxiuXJ4ttSSonzZFw+HrEQ/92zw1PLwkvGo5aHgX7LDaGe4kvRsNyIioeq2jrXpLj0+qW+vJ2/paArsi5LGuPhayTPK0oiJAUSiz8LTPRM3OiqTh/E9BbRz5pQzbguq14Q5sA4z6RQM2/+SNJVzFXMpO1h2FMvcdRw1+ukYLo2FuV5vru9sK32D0h9LMmWEHXKZbumJqtHVt32oQasnVtSjL0xdlXSy5irwCUCo0LdbYBHaUv4Ma9jg9DufYr/jVALUstCULjp4FHMcBGkK5+9gqiUibRAGOEQ78X5JMWr1Ij8OuIagSvABD4247L8YGLxyrtekeMnx+61LQdlagPUarU3bY8JjSIGiwl/pbeVEmmRqlCP5QY3D76R6FySYoyxN20/j7lq+zJFoEroqMPZu4QQagMtoFm8WpwMMQRgp1FIyhWH3xwejo5vCU1ixkj2RLcdFRAVRNW4JlQbGhg6sFt67oJXY2+MXXPu14Brlq/ISm9KqlA6ytUMJUxaYNuiIEKx4TgjjQ+odd2XI7p3N8GEO/MrYhY3s3b2Z42vFoPTHha5TUttitA4UKu2qweurThXpLh582Z9tb36mwSuKeoa4hLJyDoO47JbbeRAE7EJLGHKfej1Yttxrfjvo+riEuAizJ02AKTxRyO0GXHmv4gpxzg/7Pl3azGEqsbVttsHVh/niRRa6Vt5S+gGketR8YqsUVIX1XH2hJpEipbtbeAXwCskC7+38AzK5FX5YRzZdiEgQ/QgBjDjIYS/YnyD5G2Uxch1Os/v3URa+t1KiKFKladPUgy/Ofy8WnoFcV3oKkXkkpOJSUSgJbQF9Nn+fyT9GqK/+LfyQzjqjrNOC2GqCwnGv12ohgbpC/GoQF1qE7AriEoM8emyKS69fqmv1W79BuIacM14kuNTGw9DqUaamEZQ+CPE5eg4JJTjwrDrWP6P25N+GJSl/qXorwI5QkWQquchNg1dEisEQhaJlZCHp4oUIY/5rwPPATeErkTi6AmMEujOLJbXzi3vCN3A/B9C/zYQCVSJR74vZHcdRNd/Vynjm+wakvuN3M6ZTbCcBYcsD/mBu8vOPClGXh/51Tzmrwhdx1x18Lis7rT4caqNTlV18RKKll/YiTv/oK76D0hZiVox2qC7R/WoiVE2Hnf/28Pu0/lvdVJpmbIDG8FnOk4x/qPxq8HhT5H2eV5HlAmvk1IbsHc8QMU4EIk9oecFoX9mPGs8Z7xovA40hXKOLnbRPbdi/+txxEuGrwm2g6MPLADOLClGXxodjO34p41vBMJzpDK7UR4MUh13wqt7SFmPrB5ERdL35z+Yf1dBX8maFVoAVhFbxm2SDXKUZ+iWDAd69kAof0aOPt+S4qWXXuqhh9/CyY6IxKu4423s28txnOj+MFILn9zA1B09MfLWSL+kn1ueE5qTtYTZ4Oilxf4zHR7h4J/12SPFq9SWepbeKDyNK7KuCJXDUEudfZLp8D2kkNSQ1CvUww7Pz39//gvgru05RJIWsH0M0uLQiMROQs3KD/p7Z40UmtTkjaK0bBAYMR7GuwGa05i0T3Gvcnd5r3FfJPYCz/EPiHlP/jZiQWges2y8QcqP7Ka8TwN7sqwhJdIOgrNGCgPrDs4sV8u4/UNcvZMmRFk8W6WYRSXUh7jGf0bPyl9d+Vroru0FAktBYQ3YAUppcbL1F+Ur/V+UFXPn55YUzL4yO5/FbEuoWdQOtDjlbxx7VUidFEXsV1Tv8O3hy/xVaA43P5A0j1mIjivAJqd7diOipDwq5nKqwzgIzhwp+F3ymMXPEKuIFcQa6Q1uknIQJ135VGJ3nGGxsrJPUm+2nk0C2drfXJuKjrPG88AysEGSFqd1ZgMxOuay2oHQPOgvnj1SAIvvL05hvpE1J6s03rboiOOTxp5BIkINkUro83Z+Fcj4KeIyH8paEFoszrx9GmcubIkIREltAm3bmwf9/TNJCiBmzt43nrU8i1gE1jk9PQ10BpQBPbZ7hfpCK4wP/MFAA6i2/pvWdEGIRaBUIU2hk6jQorx+kc6PpPeqbdzKs3zroBc5q6Rg7tbcTHD40njG9hxJJJ+mnu6OLFZJA9V6JTXCPw5DQG39L6yHOB6/FFqUtQysI3aMSxVyEthTByLUktWqNqvbB73AmSUF4CbN9wJhRmgGWECsCpUi+TT09C4pivL53qjYqy81CNTqUN/89zZnouJiDHHJeA2zzckTuawAbxk3hZrNSvOpIAWrt1YXLX8MTAOzmGXbG3TqI0+SFHvtCqWCWFkNz3mkB3oiNPgbOzjztNASHRXSfd6TUCER08a0hJqWdwYHB8+0+lCxv+JAsYYszz4wnpE1Y3sePWB0nqi02DOgTDQkNbK1bNRQNTRiD43463EKWJK0gh7wQo7/iB17oml5W9bWvZ/fO8OS4i0qY5WxibE3xq7y0reXnc/dmlu3/UvL0wqaLb6BpxUx7ORCTNV2j+06LQa9kUhh6Mv/2lYTs1K81rpU3nGft5REOdBC7ChqOyrOH+a+J06KEUZ683Y+YfvGWM/Y68UejsdifGf8Y+A+kWnLc5JWSNLiNIzOsm6yUoS968Y91U+rVVKFVN/Oj1p9HvQ0ZhlYM+4+K8d53sIdzYv7bTt4K8Qwf5hrnDgpnHskEC4Tec7y9yrVyo9HXx+9/rjf+fzzz3eyPHvXeFrWrKNLF/U4s5GPQrcXUiOkdHrlq0rF0OMU7exr/7n2ImLVOAXftBt8O66YhUkV4KXq2BHawmwGwtJhLnTipMha2QSBK7ZvCr0YHF7E/Na3EWPutbkvM7K7lqcRuy5q0Y9xksGhMuSdSapgehzc0/qMCsXkfUN/+z/cEmYVs2q8gU/ErtgrJeRN25vbre3lw1zkxEkRFSeLwtsbxt8zfsn4e879k4lXJx49iud3yV3xO0SmgZkiTX3SiafdWVRAsFPCTqiWfZ1VgSyk3Ehf67X2oHo0j1gLhA2K6GZXIOuosdeeSOp1I4SwuTawtnKYC500KbJAGA0xjEiaBK5bSWIQuJmT/2TkrZFHTnNbeG9hSugLy/e7Alqli3pitkVXtXRFqArUwv3QU/xdLUCfoW/nt3eWAmHNeEPSNilucGzRzYJwbQopAaw7epq3OXAyDE6YFFffutpjuRFD7CeV6I/Luop5TlEvIG6yw08eMz7YLVq/KAJa0yJ9E084oLWnZrLs1QyzoZeym6vsyfhL7UiyfdaLRqLjIm+3PdEy3hbaMF538DeHvdiJVnNv5pu1jKyGi/SzGShqJapAtNwKDs2VwZVV4Gc8xFZYvbW6OPb62EfAaDE8ddh2HzrxzYFlvKJiuaYNNUgfetVQD9Dc+sl2f43eDWADsYWPNehmitiE0CaRNWCtQmXusBc6UUnRE3tqjnuKZ8oup1HEFZKd8Zxy/WDsh2Pff9R1KlQ+MJ42ngbmECvszUiehLRIJf9SxdEVtdVDunHRY0ofgwzEoThfGJpbHF/6vxOwMtuIdcRqUFidq88tHPZiJ0qKFq2a5UpwqBTFt50dnDAq6zJwg8Bz0fFPPSqGMfP+zIaC3guEaWDWeEloneSGnZSLmtrycBYU0pCQLSKdjq7eAH2t11obwWGTRNomRdd6cY2jOOP+gNUWZk3WSgzxzmHtCThhUsQQK4jMclbkENLUlYIYQmM4SYxAuFHJKr/9qJXOi5XFT4FvgGmhuUhcOaby+oehuywws5zZztgk0mkHqAMN/XYeLW8VfahNUir7qKVZSYodkg2TCpRy7jzJxU6UFM4dgkN3t9X+MrdBxARpZNGNoPDCqEb/FA+zEd6m1Q7td42nbc8ILRBPuOai7MAyWVDIsmYWgeCCFIbe1m+26ra3jEtJcZRnK0cfJSlhtopKtSXMytDG0OyTXPRESVGLtVSJrQfa3Mq+yAZpnvZkVLxmfAPzq0M/HHrhYddbeX/lDuJOUJiWNYdOtOZid+hp+dIGefE8FSfpV2/fzPslbdveNt7BR16J5aJeY8fyOmZZaEnS17dv3z5wEqwbp5M69wMfVidsnMLEI4V9cR1xPcTwG6MvjT5sQGisuvqO8bSDZ/CegNZJ2Bap+0oOtgOru39XqsQGNXrpZ13SjlBLUvdIpO+K0sBsAVuBsCa0FIlLtPj0SS96oqRohmY5TOxhH1Z3232/8ajQFeC6pOvU+TEPmRQz+8HsTFD43PZ9ArNAdxb1JNLVybYIhGyzUo4gyELRZhig3r7a3jBuAs0um+e7EnbXwBRqAhuRuBSJi7Lm5l+fn3nSC58oKdRWHhV3iVHUEu7+M132hdCg5fHSvjB+cey1h7upeS3/RSBMK2ra8jwPFvoe25AyYwVCUiWJsiHsVmfRA/RwI28LNYs8TU4arPZdz7QrJYos7EpRBjiP+Yjf5cAdYftxoqSoxEpLVlsof0y4t7TeG5hhxCTiKnA9Et8a+uHQAyOFl95eWlHQLcv3hWaK4tnj7ul8AHml3dU4RBWoGWq6QSxUR5sHpdeTnKvbDd0B1gs7Yl7SQqbsibyOEidKih3t7ABty+1iBOH+b/Hum1p0lveR1hVclnQdcS1T9uOHrUDqX+3/kFRzcd/ynPEyOv4s6p5vvPaEwMtIba19sx2iYrswMnPStL3vQtRuW2ITWLG8YHvOwZ/N3Zpbf/InOumIpnuatltFuPdRurVs0SuNtQFgHHOFyHXlenFkfuRX91/79u3b25mzdyxPO3r6hFxUQ9HIK+yeTqSTZFdUgGr7ejuTlX+LhDzMPU3KuG4XuZ8FzKysWTb58Ls+1ImSYr4yv1O0A5b++uMMwdKKr5Mmyk5IuhoVrwWHNwe+P/DAGqS5W3NfIW4HhftCswSWOH4XNX1IkUhlt/m5HCqSorYDVDB5JMbvmDrvVhtN401SQ/McMOPMny5+vrj6XR/oZF3SW+lBLO/w+EDO3uom0+foEWDXTa3UKr/JW+yf45RXXX3H8n3jacz8MbcFpOCRlCIWKfYaXEiKIg+SuY9K0dd5FMTcTY8DK7bnZc0YzxyFlIBTiFNImi/SyDs8vvR9LzHSeMKxwk29FggvjDfHX99//dkPZmcc/SlwH5ghsjt26DH3ehK4CF9FTC4pR53ZWF2vjAEyIe/u7HiyM5jktaRAFV4zXpA0jbifKfvoEFLiWybgnDCCwkJRcLJLise4Z92jhRqkSTYT0fEa4nokvj7+8vjV/b9Uy2q/cPCU8f2idG9/F/hRoGz1zxF5dMzp3R2Z2P3SPuewfNbDpPdLEsUi3rEhtCQ0C9x38FT/Wv+tA1znQMNfT15SRK04elvWdvGABzG+SmL0AsOSLuE0itlV/+b+opyZ92c2lOu94HBfaBqzgI+0dK/83dTEa7VltT2cN9hPiAdJ8aS1HruRy6JUYA4xhZnKyd8+QEg78CpVfro75/MxP3jCCFlYDSFsFpnDUlo87kPqViMpzW5GLV+xfN32cyt9K2+x781erC9+JnQXc19opsiLHGXpXiR9c9uR2I5ZbFKnWtoRXecxeTFnOzwRITq1Emls0mpRingf843QFyvvr3xbXCJcev1S42r9aoW5M0iKal91zfam8WaROTxINdLebKoYxEwIXSWNZX5l6PWhm3t+421arvjtXaMzfbO6I51H4RbmQm1J7dAbtul4Hd0iOjXwPfg8B75PEdNJQSppQWiaNGfrm1iPb/M4lfhTKgM/GBjZbG7Wt1e2K0x8u/o8cVLc+/m9LUmLwWFDaJPDJa/2qJFitUFKmuXhx+Mvjw90//DCewtTjv4UMQVMEzsjDYo3+rsQI033F22hVuyLO3SkROj6mcgOkTTP8jClgrvEM26S2g8XHT0N3AXuxRD/eOntpUdXar9FdXR+9EqmrL/HPT2xPwb+gG8dc3QqWVKhu4h1kvG3X4UcRI3UgL4iaVa6qTdc84/Z+0yuqPKu7SnEfQIz+yKdT5IfMN2SwmpHx1Yci03KuMReUuQyOQEFwmGGuO3GI6BYKSGmCdwTukvg1sovV7561C/fvHmzPrYz9pLxSJZlve3Qrg4vDx8olX4qpIiKM4WbuE6n/e8gGc1HJs2ErkfHXxn54cir3b8wd2tuPcuyd2xPFZHOefzAlJlDSYuuSTFt45akJpN5bqiGzroqKz1TO5uptG1nmCCpe472o7AbtQS2MSu2ZzHfEPk6Er9azBffedS5R18aHVzrXXsjVz6BGcxjXg9ZiAetrzgVUtSr9UVS3cMa2pUWhxHne5JmVqFG4EaI4dcmX5u81P3D8y/Pf15EOqeMZ0iTZvan1w9yX6f/5/JbnDq7cVM3iMWZSkmx+zO6R16WIdoORSkiPJoYnZpL2CCwJGkauAfcjYo/4xYPnWHV/3r/pBr6DTIuZ2QjkhqVUMmqobp4gOcDTokUU29PbYYQ5osAzDp7u6fg243OPUmzYhnM5UC4Adxou/2T6791vbPK4HfJW5XWn2CmgsOU8SzZrGcHAAAZn0lEQVQPTsY5KEopkZMkxY6idtqvtdOEm72kaAOtytcVhxh2VYuxilLER12/vEcT2CCyiJk1nlamf7Hyy5UHe0N/h2zkhyM/rOW1fwO4bnu8WGsdyFideX9m46APeGpDS/KY3wZWgsMqxWyoQ4wB2ps0E/2YcctXjW8gbm6tbP02v9Mpyll/d30O+BAxFQj3MfNF7OKwamRP/kHSjvFO+8V2jZQqL9VHjNAWNH0/zeC0vd8QLZ/lYffo1Eqkkv012z9ffH/x3v4fHnx1cHT0w9E/L+s3CDwfiZcwA8EhU6Z2faF+9wDPtYtTW+2QO79XCZUVUgPuepGf6KMzZvkgxpgo1UhyUycR28A2Ynv84/HleeZ3de/CzsL7Y/Wx68CApEHjXh6+Wejb7h0xbctNIjuSttvP5/1K1yrPXxqJTU+FiuWq0G4Mo2g9fByMsJzyJbLeWb61/F73sw+8NTBWaVVeUdT3i4W0Q7J6SPvOFqJjK2tmd+/du3fgKTZwiqRYvbW6NPrq6EJUXC76LbdIK5nKrYFladujUP5b2arXRxLnTaEdAtsxxp2JVyZW5z6a+wyAz9nRj/RHsRVHJA06ur/Y51kuhiu9m+7rd6MTbk41IU3ENg3WQ51B773OLimy2axWqLqqUKWYsvdtxE9FwamBudfyCyM/HPnLFSrrufO6rMve8UjxZRguSF4DWkFhAdjBLM/3zT/SQ3kUTnMJjC1/BnyPlJvYQOzYLpekHWQVQfmmZkprk/qFckTLdpNAMxJ/e/xH4xvz785PAcy/Oz819urYB8YDQWHAafNv99zvx+YGhKJxLtSyvC203b7S3gAmDDWlcxtoCXZizjbLDBQfWBWTFYmzbyN8SYg+4zFH/5uSXm27vSkpjyFWZDVwGvJquQo0iSza3hZajTF+9CTNQKe6GSh3fq9CZTkSlxVUTpIrVchBVzcIoLAv6hS5COOWrJaDW7Ed/8yl1y/9s5n3Z2YBFlj4xRhj1zADkgaMezE9aHcDMI+6v7GLYpmmrB2hLf1qvrNbj9khRRPYyaayVUVdKfaElHPGv82W657uO2BsRA9mVKhZWD6lYVszDpidQFhEbNpeErq7/NHyoWyJEqdKitVbq8tjPxybI6bmFVL2b8C4h46oPigxdotyjIcweVRsK6odCLFJ888N/GDg/177eG2BWzT1sv4oVuI4MGh7QFK5K7wU//s/uO5MZemKbmG22j/MITUV15w+rFzQNGxVf1nZlFUn0FNUXHzrRp/iz1ItIpQhejHNokUg/bsRwiRjedt4HbPg4Ll21n6XJ8wIn/bIxAh8TIobLJHmQz3p6OK9aXYxLHSZwHOWXwiEF3uqPX+xTLXPfzI/hbhle17SvPGS00qGncdMyO3URprtQNh08Gb7R60ekpQqp/61Y/qgtirvVCypQeq0L43Ng6qPMgnYhxlCjBqPG48BI4gBOhsI12zPC81gfrn8i+VDTa/pxmmTgkZ/447K0cX+TqOL94fBe4ERzBXETeMXo+NLsRr/0vgb498HWPTinwSFKcwKqUKr2zV+GCm7cxFbtjdDCBvtF/MhUptg6Xm0gW3Blt/OqrYbha1UM866YhQHJUY5ZK0BNIQadAjYAlZlzQeF+8p0d6ln6aMDvmcPxalvG7z383tbI6+OfBEI1xy8XMQOBgsVclCDs8Su4Qld4xgNlkMgVDD12I4Do6+OvpCR/WyruvVPq63qK8Xqg4eVCO7+WRiZqYfD3hLaiJfjUqhxPUJD5YpIaAq2ImxW7lb6EQ2hejHgJCvc0QPbS11/GnbbBCMpErxqe05BU8AULf417x/euOzGqZMCoJbVPmu59aqjFxR0SdZI0Vd6GIOzxMOIIVmZ5WrxAQ1F4nhb7Tfrzfof2/4/HfxfG5dNzw+TTruT5yTtFEm1jfhbrS2SVCo9GAt2DJvMssI2E4Xbu9/DOezz7J6Dst8jfYHmg8J9zDeYD+c/mr9/iGs/FGeCFDPvz8yPvzp+PypeARaN9+8wP6jBWWI/MVS4gbtNzJKWbW/lyl8tPrSBQiw/Sufv5iNspyFjDuvNP9uqOs2iqBdGZptiCFnjZ/VVxPO2ewkFKbynAOcw2BNJJQ2DL2sr7iG+XtheeO+xVzggzgQpgNgKrVuVWHnOeEFowrhcJFd6A4d9I7uJUa6szIR68G6v6jZJDNcQfZh+Om5l9/26i2p2bG8RWEdsbP9op1/Q63TW0sjcCrDuf5pJqM9yb2FoHsQdfRj2EkJsYJacxlPfI/BNiOFf8Tk7T3DtB3BWSMHK2MrXowujs7bni8k0o6SYxZNKC9hLDAmlPWBJhQyQvIhImjFRIxFiv9vodKFkTxjvOHhDaD0fzpdCP+NO6qMcrrKjlIHdqL5fHYzE/kDoLWykbil02GdJqgtt2V4BZhHfIO7J+mDu1tz0Ia/3SJy697GLP6BN5JbQnNLi16MatbzrlZQJNKU96YMkt26ENKlvgM5m5AckRWHcpZb/GNYdveY32muk8Yjl70UlV3QjLrAc1sII0G/tybEclhDdpf3bTusi5jFTwN3o+NW8599/wvfmoTg7pAAGNwa/tDwna87yIrBWFPd+19K53XQ7ya4oXbxySVyDTjLrYcGlbuNuk7TfbHXn398Ohr6Qfj8jqY5NYK3xh/VVoX6hfrwrSQ5rT3SX5JWjixZIVWT3gHu5858/qrbiSXGmSHH79u1t5/7IeFbWPLBifJRtf+p6lW193bvDHybaO9XULmZKFaRo/bhdGsSlPdECNgRr2f/VI5L06WPvbvZD12jSVZJXBKfuAXczZX+yemv1wMUzB8WZIgVAT6Xn01JaCC0i1o9IWnSjmxx7ezQeYWCSJs9tItYwq/EHcS40GCapj57iotuC9Zizlv1JNkZasluSplpUXB1GfURS5niLVBQ0S1l9Rfx4/v35z77Tu/AInDlSzLw/s5Ep+8jBaZ1jaqA9zd1hHdWRvq2rwGr+H+y0DQPuuM45yQZaq3xUmXdMaW2hPpzsia6U+UHu2d0zuoqZQ3wDfK2g28Nrw3/MMY1YOHOkAMiUfVysn5w9RmlxEHRyHenDWSdN5l/Z+gvbQ8DAPntiQ7DW+Pv1pqwBIKXm9VA393H37O71WLM8j5gqinbvVlT5l0865OwgOJOkKIan3jplabFXdVAYmIHl1rXWXBhmlCQpylrQbcFahFX+sDKIGIqOA6SpwlWh/WV4j7tnuzQsJS3avg98DXxdySt/VJYAHBfOJCkAMrJPbM/uSouj80QOg24RnsYRWsvx321uAoNdqiOqVB3T2UJYDOOYQaF+WXXSdsKDVHDvNyxLQtyVdUfo/bmP5j4/vsdNOLOkmHl/ZsPRt4xniqEcR+2JPA6lCO809aZekeVIXGr9R61Bw2BInkWpOtYFK9Xfra5jhjCDBPqNDxqV7VZVqfkHZoC7Qncsf7ZQX3iXE/gynFlSAPQ2ej8pPJFZywucrLTYHVoKrBNYFlqML8XZOJ5PAEOF6gh0qY7q/97oRwyRaid7i9rMb1Md+wmxIjSLuSd0R+iraqj+7ElK654EZ5oUU29PbRbS4rjiFo/CHgPTeE3WUlRc3PkvNlqGYacYRA8d1bFamc7mNa9JxBAp/d8oAmWPUx3dnsYWybtJrqe4HRXv7FR3/sVh+ja+K840KQD6V/s/dki2xQlJi+7kV2rGgWXLi6povvVn2hPAcEj2RJWO6lit/t3qOpEhzBBpAH13uvyx/R2UKioNWfkmEu9IuuO2f1b0rJwYzjwp7t27t7VPWpyEJ1L2iW6TSLhEZDH++eZ8qDFaSIpe0gddqo6V6j9uDCCGSfPF+4Qe54qWOY1d1xMxj/kGuCPrdiS+vfzR8p1jeL7H4syTAqB/sP8TB88U0uI4PZFuAzN5AGlqzKLQ4tZf364bRkJKppWqYxNYqdyuzGpBE6Tk2qBQb5fqeGjoXKh0PdeM521/g7lt/JXQe0u/XPrgiJ7rUDgXpLj383tbjv7whKRFqtZOnWZriloUWvAVT7dvti+TpEQ/yaNoRlgTLDf+bn2LyHBRYDtQeB0PUx27vaglIYD5QJiSdEdBXxH5YOFXF94+4uc6MM4FKQD6V/o/6bItjkta7Db22t4ElqPigu355n+5uR1IqoMiYCXYEqxEWOYfVUaAEcvDmLJd4GHFOmVz8g4qsp4wFRXvYL4CPl7S0h99l9na3xXnhhQPsS2O2hPZk28ICmvAoqT52B9nt/7y9mXDaKE6akAekxG6Uv2TymzYCOPGI5IGSfbGfimxnxBrmAXEVOF2fungTwfWBv6/o06FHxbnhhQAvfXeT7tsi6P2RHalhNBmUf01b3uu/Z9sL4WMCSdJ0U+SADuCVcFy5X+sR8sjQWGYtEHxYaqjQ4gUHV0EpjB3jL+0/FlNtf/3OHMaB8W5IsXU21Obx1RvsTfxlQamLRrPhlqY3vrPt8cMY6GjOlwamLHJQu1f1yZgt4KrD9NT5DrEfglBR2UAt42/kPRZJa/8/knGIh6Hc0UK2Bu3OMKcSLmHq2m8brwka9Z4duc/3lgINS4bxt1RHWVsYrnxj+qLbnssEEaMB4sqq+5cR5nP2Cbt90qEMLdtfxkIn3vLv/9dJ+8fJc4dKe7du7fl3B86eM64lBbfpZaz0x+qIqJo5o1nQxamt/7a9qhhIkBZSFzGJlaA5ex/6akGhZHCnihVR9fcK6WEmljHXYTAXwSFz/NK/vtHMWT9KHHuSAEpJyJrTtKc0BJJJD/J7O0yLpFEe2RdaNH2rPFM8z/dmA+9XHEaMzBMqqDKle63Eqaz2crXlcvGI4ghR5fV56G87q7bmYbHfwN8VRDis7yS/9536fk8LpxLUky9PbXZDu1btucKg3N/5fdB0ekNTYGqZVmzQWHadU9t/o3tCcNkgDE6BuZubKL6d6vrlkdIPauDXQYmxXVT1RQpUinrK+DzEMKnsSeeSULAOSUFQJ36J7LminL3csTyYRqTdwtaiqagNVIb/4zxdP5fbS+FGlcMk06qo1H8/KZgOcJi9R82UptAkiJlI5FIxOwQAr6R9JXxF7Y/CTH888cORT1lnFtSzLw/s2H5M8tzksoRjNs+2AbjPQUttjdI4xBmbN/PR/O7m7+zfd1wOcAEycCskqbTrAHLlV9UZrWuSRIpBkmkqdBFCEnzQvdsf2n7c+OPa1nt986SUfkwnFtSALTarU8UtWB2VcgmybY4iMHZqV9Iw9xnLd8H7u/8rY1WyLhsuOSkOnqL39mKsCJYrv7P9TYwUtgTZRrdQjtFQc5cJN41/lLS58BHfQN9v3dW3M7H4VyTYu3jtQXE14gFYEnSQQzOvZXSRee20P2gMNX+zfad/K3284YrgklSxrNW/Py6YDk2Waj9i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Leaf<\\/div>\\n<\\/div>\\n\\n \\n 10<\\/span>\\n<\\/div>\\n\\n \\n 24<\\/span>\\n<\\/div>\\n\\n \\n 51<\\/span>\\n<\\/div>\\n\\n \\n 72<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend with Awesome Icons — addLegendAwesomeIcon","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"Add legend Awesome Icons","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"addLegendAwesomeIcon( map, iconSet, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), marker = TRUE, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"map map widget object created 'leaflet' iconSet named list awesomeIconList, names labels legend title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally marker whether show marker icon group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"library(leaflet) data(quakes) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'gold', markerColor = 'red', spin = FALSE, squareMarker = TRUE, iconRotate = 30, ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = '#ffffff', markerColor = 'blue', spin = TRUE, squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = 'rgb(192, 255, 0)', markerColor = 'darkpurple', spin = TRUE, squareMarker = FALSE) ) leaflet(quakes[1:3,]) %>% addTiles() %>% addAwesomeMarkers(lat = ~lat, lng = ~long, icon = iconSet) %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'horizontal', title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'vertical', marker = FALSE, title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addAwesomeMarkers\",\"args\":[[-20.42,-20.62,-26],[181.62,181.03,184.1],{\"icon\":[\"font-awesome\",\"ionic\",\"plus-sign\"],\"markerColor\":[\"red\",\"blue\",\"darkpurple\"],\"iconColor\":[\"gold\",\"#ffffff\",\"rgb(192, 255, 0)\"],\"spin\":[false,true,true],\"squareMarker\":[true,false,false],\"iconRotate\":[30,0,0],\"prefix\":[\"fa\",\"ion\",\"glyphicon\"]},null,null,{\"interactive\":true,\"draggable\":false,\"keyboard\":true,\"title\":\"\",\"alt\":\"\",\"zIndexOffset\":0,\"opacity\":1,\"riseOnHover\":false,\"riseOffset\":250},null,null,null,null,null,{\"interactive\":false,\"permanent\":false,\"direction\":\"auto\",\"opacity\":1,\"offset\":[0,0],\"textsize\":\"10px\",\"textOnly\":false,\"className\":\"\",\"sticky\":true},null]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-26,-20.42],\"lng\":[181.03,184.1]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"Functions control styling 'leaflet' legends. 'leaflet' map passed output 'leaflet' control legends integrated functionality API. Style text labels, symbols used, orientation legend items, sizing elements.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"addLegendNumeric( map, pal, values, title = NULL, shape = c(\"rect\", \"stadium\"), orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 100, bins = 7, numberFormat = function(x) { prettyNum(x, format = \"f\", big.mark = \",\", digits = 3, scientific = FALSE) }, tickLength = 4, tickWidth = 1, decreasing = FALSE, fillOpacity = 1, group = NULL, labels = NULL, naLabel = \"NA\", labelStyle = \"\", className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendQuantile( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendBin( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { format(round(x, 3), big.mark = \",\", trim = TRUE, scientific = FALSE) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendFactor( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate colors palette function title legend title, pass HTML style shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally width pixels height pixels bins approximate number tick-marks color gradient colorNumeric palette numberFormat formatting functions numbers displayed e.g. format, prettyNum tickLength pixels tickWidth pixels decreasing order numbers legend fillOpacity fill opacity legend items group group name leaflet layer group labels labels naLabel legend label NAs values labelStyle character string style argument HTML text className extra CSS class append control, space separated data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl opacity opacity legend items separator legend range labels","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"library(leaflet) data(quakes) # Numeric Legend numPal <- colorNumeric('viridis', quakes$depth) leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric (Horizontal)', orientation = 'horizontal', shape = 'rect', decreasing = FALSE, height = 20, width = 100 ) %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = htmltools::tags$div('addLegendNumeric (Decreasing)', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), orientation = 'vertical', shape = 'stadium', decreasing = TRUE, height = 100, width = 20 ) %>% addLegend(pal = numPal, values = quakes$depth, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Horizontal)<\\/strong>\\n<\\/div>\\n\\n \\n 680<\\/p>\\n 40<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Decreasing)<\\/div>\\n<\\/div>\\n\\n \\n 100<\\/p>\\n 200<\\/p>\\n 300<\\/p>\\n 400<\\/p>\\n 500<\\/p>\\n 600<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154 , #482374 9.375%, #3B528B 25%, #297A8E 40.625%, #1F9F88 56.25%, #4DC26C 71.875%, #AADC32 87.5%, #FDE725 \"],\"labels\":[\"100\",\"200\",\"300\",\"400\",\"500\",\"600\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"numeric\",\"title\":\"addLegend\",\"extra\":{\"p_1\":0.09375,\"p_n\":0.875},\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}]},\"evals\":[],\"jsHooks\":[]} # Quantile Legend # defaults to adding quantile numeric break points quantPal <- colorQuantile('viridis', quakes$mag, n = 5) leaflet() %>% addTiles() %>% addCircleMarkers(data = quakes, lat = ~lat, lng = ~long, color = ~quantPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', numberFormat = function(x) {prettyNum(x, big.mark = ',', scientific = FALSE, digits = 2)}, shape = 'circle') %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = htmltools::tags$div('addLegendQuantile', htmltools::tags$br(), '(Omit Numbers)'), numberFormat = NULL, shape = 'circle') %>% addLegend(pal = quantPal, values = quakes$mag, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4.3)<\\/span>\\n\\n\\n 20% - 40% (4.3 - 4.5)<\\/span>\\n\\n\\n 40% - 60% (4.5 - 4.7)<\\/span>\\n\\n\\n 60% - 80% (4.7 - 4.9)<\\/span>\\n\\n\\n 80% - 100% (4.9 - 6.4)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n \\n addLegendQuantile\\n \\n (Omit Numbers)\\n <\\/div>\\n<\\/div>\\n\\n 0% - 20%<\\/span>\\n\\n\\n 20% - 40%<\\/span>\\n\\n\\n 40% - 60%<\\/span>\\n\\n\\n 60% - 80%<\\/span>\\n\\n\\n 80% - 100%<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154\",\"#3B528B\",\"#21908D\",\"#5DC863\",\"#FDE725\"],\"labels\":[\"0% – 20%<\\/span>\",\"20% – 40%<\\/span>\",\"40% – 60%<\\/span>\",\"60% – 80%<\\/span>\",\"80% – 100%<\\/span>\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"quantile\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Factor Legend # Style the title with html tags, several shapes are supported drawn with svg quakes[['group']] <- sample(c('A', 'B', 'C'), nrow(quakes), replace = TRUE) factorPal <- colorFactor('Dark2', quakes$group) leaflet() %>% addTiles() %>% addCircleMarkers( data = quakes, lat = ~ lat, lng = ~ long, color = ~ factorPal(group), opacity = 1, fillOpacity = 1 ) %>% addLegendFactor( pal = factorPal, title = htmltools::tags$div('addLegendFactor', style = 'font-size: 24px; color: red;'), values = quakes$group, position = 'topright', shape = 'triangle', width = 50, height = 50 ) %>% addLegend(pal = factorPal, values = quakes$group, title = 'addLegend') 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addLegendFactor<\\/div>\\n<\\/div>\\n\\n A<\\/span>\\n\\n\\n B<\\/span>\\n\\n\\n C<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#1B9E77\",\"#D95F02\",\"#7570B3\"],\"labels\":[\"A\",\"B\",\"C\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"factor\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Bin Legend # Restyle the text of the labels, change the legend item orientation binPal <- colorBin('Set1', quakes$mag) leaflet(quakes) %>% addTiles() %>% addCircleMarkers( lat = ~ lat, lng = ~ long, color = ~ binPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendBin( pal = binPal, position = 'topright', values = ~mag, title = 'addLegendBin', labelStyle = 'font-size: 18px; font-weight: bold;', orientation = 'horizontal' ) %>% 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addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n 4.5 - 5.0<\\/span>\\n\\n 5.0 - 5.5<\\/span>\\n\\n 5.5 - 6.0<\\/span>\\n\\n 6.0 - 6.5<\\/span>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#E41A1C\",\"#377EB8\",\"#4DAF4A\",\"#984EA3\",\"#FF7F00\"],\"labels\":[\"4.0 – 4.5\",\"4.5 – 5.0\",\"5.0 – 5.5\",\"5.5 – 6.0\",\"6.0 – 6.5\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"bin\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Group Layer Control # Works with baseGroups and overlayGroups leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric', group = 'Numeric Data' ) %>% addLegendQuantile( pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', group = 'Quantile' ) %>% addLegendBin( data = quakes, pal = binPal, position = 'bottomleft', title = 'addLegendBin', group = 'Bin', values = ~mag ) %>% addLayersControl( baseGroups = c('Numeric Data', 'Quantile'), overlayGroups = c('Bin'), position = 'bottomright' ) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric<\\/strong>\\n<\\/div>\\n\\n \\n 600<\\/p>\\n 500<\\/p>\\n 400<\\/p>\\n 300<\\/p>\\n 200<\\/p>\\n 100<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control leaflegend-group-NumericData\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4)<\\/span>\\n\\n\\n 20% - 40% (4 - 4)<\\/span>\\n\\n\\n 40% - 60% (4 - 5)<\\/span>\\n\\n\\n 60% - 80% (5 - 5)<\\/span>\\n\\n\\n 80% - 100% (5 - 6)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control leaflegend-group-Quantile\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n\\n 4.5 - 5.0<\\/span>\\n\\n\\n 5.0 - 5.5<\\/span>\\n\\n\\n 5.5 - 6.0<\\/span>\\n\\n\\n 6.0 - 6.5<\\/span>\\n\",\"bottomleft\",null,\"info legend leaflet-control leaflegend-group-Bin\"]},{\"method\":\"addLayersControl\",\"args\":[[\"Numeric Data\",\"Quantile\"],\"Bin\",{\"collapsed\":true,\"autoZIndex\":true,\"position\":\"bottomright\"}]}]},\"evals\":[],\"jsHooks\":{\"render\":[{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null}]}}"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":null,"dir":"Reference","previous_headings":"","what":"Available shapes for map symbols — availableShapes","title":"Available shapes for map symbols — availableShapes","text":"Available shapes map symbols","code":""},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Available shapes for map symbols — availableShapes","text":"","code":"availableShapes()"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Available shapes for map symbols — availableShapes","text":"list available shapes","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-1110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.10","title":"leaflegend 1.1.10","text":"addLegendNumeric gains labelStyle argument significant improvements layout handle larger font sizes long text widths. added stacked argument addLegendSize allow size legends compact symbols overlayed. See examples ?addLegendSize. groups can now underscores name show/hide functionality. added argument addLegendBin addLegendQuantile users can change dash. fixed issue addSymbols addSymbolsSize worked directly specifying lat lng. now work sf objects. added dashArray argument symbols functions. main purpose allow dashed line encodings, symbols can dashed outer lines.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-111","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.1","title":"leaflegend 1.1.1","text":"CRAN release: 2023-08-19 updating test ‘leaflet’ changes v2.2.0 pch solid symbols 15-20 use color fillColor missing","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.0","title":"leaflegend 1.1.0","text":"CRAN release: 2023-05-04 availableShapes provided convenience look supported symbol names. addLegendFactor, addLegendBin, addLegendQuantile now show symbol missing values exist gain naLabel argument. Label spacing adjustments addLegendNumeric support longer labels. addLegendNumeric gains argument naLabel now shows NA color missing values. addLegendNumeric gains argument labels allows user pass label names numeric breaks. breaks argument addLegendLine addLegendSize now allows user pass named list names labels. makeSymbol makeSymbolIcons can now create map symbols consistent base R pch. shape argument can accept name integer (0-indexed). availableShapes provides list named options.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-100","dir":"Changelog","previous_headings":"","what":"leaflegend 1.0.0","title":"leaflegend 1.0.0","text":"CRAN release: 2022-08-05 new function addLegendSymbol added automatically encode character/factors various map symbols. default argument baseSize addLegendSize changed 20. values argument longer used addLegendBin since necessary causes problems number values less number bins. Updated example README Documentation updated makeSymbols name changed mapSymbols additional functions added . Internal functions renamed match naming conventions. Renamed makeSizeIcons makeSymbolsSize consistent naming conventions. colorValues argument removed. functionality, specify vector color fillColor. Fixed issue image styling missing raster images addLegendImage Added functions automate task creating map symbols. addSymbols create map symbols based character factor vector. addSymbolsSize create map symbols size encoding. Code re-factoring addLegendBin, addLegendQuantile, addLegendFactor grouping values different assembly HTML . Unit tests added cover current functions. Gradient IDs numeric legends now based function call data “name” values. makeSizeIcons default opacity now 1. Adding internal functions add dependencies addLegendAwesomeIcon. Awesome Icons show legends needed HTML dependencies loaded unless addAwesomeIcons included. addLegendAwesomeIcon now check dependencies “leaflet” map include missing. Added error messages invalid width, height, tickWidth, tickLength, strokeWidth arguments. Prior negative values throw errors visual output legends desirable. Ability specify values parameter formula retrieve data argument “leaflet” package. makeSymbolIcons now supports vectorization multiple shape arguments Awesome icons now centered marker addLegendAwesomeIcon adding support text parameter passed addLegendAwesomeIcon. allows svg passed icon.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-061","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.1","title":"leaflegend 0.6.1","text":"CRAN release: 2022-03-03 patching examples use png files leaflet js site since moved. adding leaf images png files examples","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-060","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.0","title":"leaflegend 0.6.0","text":"CRAN release: 2022-01-17 updated layers control handle special characters group name. non-alphanumeric characters removed class names javascript selectors. added better error message missing color pal adding addLegendLine add height encoding size based values","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-050","dir":"Changelog","previous_headings":"","what":"leaflegend 0.5.0","title":"leaflegend 0.5.0","text":"CRAN release: 2021-10-28 updated example README adding addLegendAwesomeIcon function produce legends markers awesome icon libraries adding line polygon symbol adding symbols README","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-040","dir":"Changelog","previous_headings":"","what":"leaflegend 0.4.0","title":"leaflegend 0.4.0","text":"CRAN release: 2021-07-23 fixes error makeSizeLegend fillColor evaluated argument provided adding colorValues argument makeSizeLegend symbols can sized colored different vectors data fixes warning addLegendNumeric shape default vector single value adding number formatting addSizeLegend adding group layer support legends. Use addLayersControl turn /legends added example using raster images size encodings based data","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-030","dir":"Changelog","previous_headings":"","what":"leaflegend 0.3.0","title":"leaflegend 0.3.0","text":"CRAN release: 2021-05-21 stroke outlines shapes now padded stroke cut numeric legends now appropriate sizing text star symbol outline fixed new function makeSizeIcons convenience wrapper size scaled symbols","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-020","dir":"Changelog","previous_headings":"","what":"leaflegend 0.2.0","title":"leaflegend 0.2.0","text":"CRAN release: 2021-02-23 new functions addLegendSize, sizeNumeric, sizeBreaks added allow encoding size symbols. addLegendImage supports multiple height width parameters images want different sizes addLegendImage now supports using svg URI output makeSymbol. supply custom svg URI, add ‘svgURI’ class character vector. added shapes makeSymbol, addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin Control opacity legend shapes addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin makeSymbol now returns embeddable svg","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-010","dir":"Changelog","previous_headings":"","what":"leaflegend 0.1.0","title":"leaflegend 0.1.0","text":"CRAN release: 2021-01-25 Added NEWS.md file track changes package.","code":""}] +[{"path":"https://leaflegend.roh.engineering/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Thomas Roh. Author, maintainer. Ricardo Rodrigo Basa. Contributor.","code":""},{"path":"https://leaflegend.roh.engineering/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Roh T (2024). leaflegend: Add Custom Legends 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.","code":"@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }"},{"path":"https://leaflegend.roh.engineering/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Thomas P. Roh Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"leaflegend-","dir":"","previous_headings":"","what":"Add Custom Legends to leaflet Maps","title":"Add Custom Legends to leaflet Maps","text":"package provides extensions leaflet package customize leaflet legends without adding outside css file output style legends. legend extensions allow user add images legends, style labels legend items, change orientation legend items, use different symbologies, style axis ticks. Syntax style consistent leaflet package. Helper functions provided create map symbols plotting well.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Add Custom Legends to leaflet Maps","text":"can install released version leaflegend CRAN : Install development version :","code":"install.packages(\"leaflegend\") devtools::install_github(\"tomroh/leaflegend\")"},{"path":"https://leaflegend.roh.engineering/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Add Custom Legends to leaflet Maps","text":"Introduction leaflegend Map Symbols Size Legends Awesome Marker Legends leaflegend Recipes","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"map-symbols","dir":"","previous_headings":"","what":"Map Symbols","title":"Add Custom Legends to leaflet Maps","text":"default pch","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Add Custom Legends to leaflet Maps","text":"Use addLegend*() create easily customizable legends leaflet.","code":"library(leaflet) library(leaflegend) set.seed(21) data(\"gadmCHE\") gadmCHE@data$x <- sample(c('A', 'B', 'C'), nrow(gadmCHE@data), replace = TRUE) factorPal <- colorFactor(c('#1f77b4', '#ff7f0e' , '#2ca02c'), gadmCHE@data$x) n <- 10 awesomeMarkers <- data.frame( marker = sample(c('Font Awesome', 'Ionic', 'Glyphicon'), n, replace = TRUE), lng = runif(n, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) n2 <- 30 symbolMarkers <- data.frame( x = runif(n2, 0, 100), y = runif(n2, 10, 30), lng = runif(n2, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n2, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) numericPal <- colorNumeric(hcl.colors(10, palette = 'zissou'), symbolMarkers$y) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'rgb(192, 255, 0)', markerColor = 'lightgray', squareMarker = TRUE, iconRotate = 30 ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = 'gold', markerColor = 'gray', squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = '#ffffff', markerColor = 'black', squareMarker = FALSE) ) leaflet() |> addTiles() |> addPolygons(data = gadmCHE, color = ~factorPal(x), fillOpacity = .5, opacity = 0, group = 'Polygons') |> addLegendFactor(pal = factorPal, shape = 'polygon', fillOpacity = .5, opacity = 0, values = ~x, title = 'addLegendFactor', position = 'topright', data = gadmCHE, group = 'Polygons') |> addAwesomeMarkers(data = awesomeMarkers, lat = ~lat, lng = ~lng, icon = ~iconSet[marker], group = 'Awesome Icons') |> addLegendAwesomeIcon(iconSet = iconSet, title = 'addLegendAwesomeIcon', position = 'bottomleft', group = 'Awesome Icons') |> addSymbolsSize(data = symbolMarkers, fillOpacity = .7, shape = 'plus', values = ~x, lat = ~lat, lng = ~lng, baseSize = 20, fillColor = ~numericPal(y), color = 'black', group = 'Symbols') |> addLegendSize(pal = numericPal, shape = 'plus', color = 'black', fillColor = 'transparent', baseSize = 20, fillOpacity = .7, values = ~x, orientation = 'horizontal', title = 'addSizeLegend', position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLegendNumeric(pal = numericPal, values = ~y, title = 'addLegendNumeric', orientation = 'horizontal', fillOpacity = .7, width = 150, height = 20, position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLayersControl(overlayGroups = c('Polygons', 'Awesome Icons', 'Symbols'), position = 'topleft', options = layersControlOptions(collapsed = FALSE))"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"Add legend sizing symbols width lines","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"addLegendSize( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 20, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", stacked = FALSE, data = leaflet::getMapData(map), ... ) addLegendLine( map, pal, values, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), width = 20, color, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 10, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendSymbol( map, pal, values, title = NULL, labelStyle = \"\", shape, orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, width = 20, height = width, group = NULL, className = \"info legend leaflet-control\", dashArray = NULL, data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate sizes colorValues specified pal given, values used generate colors palette function title legend title, pass HTML style labelStyle character string style argument HTML text shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally color color legend symbols, omitted pal used fillColor fill color symbol strokeWidth width symbol outline opacity opacity legend items fillOpacity fill opacity legend items breaks integer specifying number breaks numeric vector breaks baseSize re-scaling size pixels mean values, average value exact size numberFormat formatting functions numbers displayed e.g. format, prettyNum group group name leaflet layer group className extra CSS class append control, space separated stacked TRUE, symbols overlayed onto compact size legend data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl addLegendSize pretty sizeBreaks makeSymbol makeSymbolsSize width width pixels lines height pixels dashArray string vector/list strings defines stroke dash pattern","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"library(leaflet) data(\"quakes\") quakes <- quakes[1:100,] numPal <- colorNumeric('viridis', quakes$depth) sizes <- sizeNumeric(quakes$depth, baseSize = 10) symbols <- Map( makeSymbol, shape = 'triangle', color = numPal(quakes$depth), width = sizes, height = sizes ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = icons(iconUrl = symbols), lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( quakes$depth, shape = 'cross', fillColor = numPal(quakes$depth), color = 'black', strokeWidth = 1, opacity = .8, fillOpacity = .5, baseSize = 20 ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = sizeSymbols, lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', shape = 'cross', orientation = 'horizontal', strokeWidth = 1, opacity = .8, fillOpacity = .5, color = 'black', baseSize = 20, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/span>\\n\\n \\n 200<\\/span>\\n<\\/span>\\n\\n \\n 300<\\/span>\\n<\\/span>\\n\\n \\n 400<\\/span>\\n<\\/span>\\n\\n \\n 500<\\/span>\\n<\\/span>\\n\\n \\n 600<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # Group layers control leaflet() %>% addTiles() %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n
200,000<\\/p>\\n
400,000<\\/p>\\n
600,000<\\/p>\\n
800,000<\\/p>\\n
1,000,000<\\/p>\\n
1,200,000<\\/p>\\n<\\/div>\",\"bottomleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Map Symbols for 'leaflet' maps — mapSymbols","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"Create Map Symbols 'leaflet' maps","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"","code":"makeSymbol( shape, width, height = width, color, fillColor = color, opacity = 1, fillOpacity = opacity, ... ) makeSvgUri(svg, width, height, strokeWidth) makeSymbolIcons( shape, color, fillColor = color, opacity, fillOpacity = opacity, strokeWidth = 1, width, height = width, ... ) addSymbols( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, width = 20, height = width, dashArray = NULL, data = leaflet::getMapData(map), ... ) addSymbolsSize( map, lng, lat, values, shape, color, fillColor = color, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize = 20, data = leaflet::getMapData(map), ... ) sizeNumeric(values, baseSize) sizeBreaks(values, breaks, baseSize, ...) makeSymbolsSize( values, shape = \"rect\", color, fillColor, opacity = 1, fillOpacity = opacity, strokeWidth = 1, baseSize, ... )"},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"shape desired shape symbol, See availableShapes width pixels height pixels color stroke color fillColor fill color opacity stroke opacity fillOpacity fill opacity ... arguments pass pretty svg inner svg tags symbol strokeWidth stroke width pixels map map widget object created 'leaflet' lng numeric vector longitudes, one-sided formula form ~x x variable data; default (explicitly provided), automatically inferred data looking column named lng, long, longitude (case-insensitively) lat vector latitudes formula (similar lng argument; names lat latitude used guessing latitude column data) values values used generate shapes; can omitted single type shape dashArray string vector/list strings defines stroke dash pattern data data object argument values derived; default, data object provided leaflet() initially, can overridden baseSize re-scaling size pixels mean values, average value exact size breaks integer specifying number breaks numeric vector breaks; named vector names used labels.","code":""},{"path":"https://leaflegend.roh.engineering/reference/mapSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Map Symbols for 'leaflet' maps — mapSymbols","text":"HTML svg element","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a Legend with Images — addLegendImage","title":"Add a Legend with Images — addLegendImage","text":"Creates legend images embedded 'leaflet' map images need packaged saving 'leaflet' map HTML. Full control label title style. 'leaflet' map passed output control legend fully integrated functionalities.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a Legend with Images — addLegendImage","text":"","code":"addLegendImage( map, images, labels, title = NULL, labelStyle = \"font-size: 24px; vertical-align: middle;\", orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 20, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a Legend with Images — addLegendImage","text":"map map widget object created 'leaflet' images path image file labels labels image title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally width pixels height pixels group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a Legend with Images — addLegendImage","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendImage.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a Legend with Images — addLegendImage","text":"","code":"library(leaflet) data(quakes) quakes1 <- quakes[1:10,] colors <- c('blue', 'red', 'yellow', 'green', 'orange', 'purple') i <- as.integer(cut(quakes$mag, breaks = quantile(quakes$mag, seq(0,1,1/6)), include.lowest = TRUE)) leafImg <- system.file(sprintf('img/leaf-%s.png', colors), package = 'leaflegend') leafIcons <- icons( iconUrl = leafImg[i], iconWidth = 133/236 * 50, iconHeight = 50 ) leaflet(data = quakes) %>% addTiles() %>% addMarkers(~long, ~lat, icon = leafIcons) %>% addLegendImage(images = leafImg, labels = colors, width = 133/236 * 50, height = 50, orientation = 'vertical', title = htmltools::tags$div('Leaf', style = 'font-size: 24px; text-align: center;'), position = 'topright') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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\",\"data:image/png;base64,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Leaf<\\/div>\\n<\\/div>\\n\\n \\n blue<\\/span>\\n<\\/div>\\n\\n \\n red<\\/span>\\n<\\/div>\\n\\n \\n yellow<\\/span>\\n<\\/div>\\n\\n \\n green<\\/span>\\n<\\/div>\\n\\n \\n orange<\\/span>\\n<\\/div>\\n\\n \\n purple<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # use raster images with size encodings height <- sizeNumeric(quakes$depth, baseSize = 40) width <- height * 38 / 95 symbols <- icons( iconUrl = leafImg[4], iconWidth = width, iconHeight = height) probs <- c(.2, .4, .6, .8) leaflet(quakes) %>% addTiles() %>% addMarkers(icon = symbols, lat = ~lat, lng = ~long) %>% addLegendImage( images = rep(leafImg[4], 4), labels = round(quantile(height, probs = probs), 0), width = quantile(height, probs = probs) * 38 / 95, height = quantile(height, probs = probs), title = htmltools::tags$div( 'Leaf', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), position = 'topright', orientation = 'vertical') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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Leaf<\\/div>\\n<\\/div>\\n\\n \\n 10<\\/span>\\n<\\/div>\\n\\n \\n 24<\\/span>\\n<\\/div>\\n\\n \\n 51<\\/span>\\n<\\/div>\\n\\n \\n 72<\\/span>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend with Awesome Icons — addLegendAwesomeIcon","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"Add legend Awesome Icons","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"addLegendAwesomeIcon( map, iconSet, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), marker = TRUE, group = NULL, className = \"info legend leaflet-control\", ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"map map widget object created 'leaflet' iconSet named list awesomeIconList, names labels legend title legend title, pass HTML style labelStyle character string style argument HTML text orientation stack legend items vertically horizontally marker whether show marker icon group group name leaflet layer group className extra CSS class append control, space separated ... arguments pass addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLegendAwesomeIcon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend with Awesome Icons — addLegendAwesomeIcon","text":"","code":"library(leaflet) data(quakes) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'gold', markerColor = 'red', spin = FALSE, squareMarker = TRUE, iconRotate = 30, ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = '#ffffff', markerColor = 'blue', spin = TRUE, squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = 'rgb(192, 255, 0)', markerColor = 'darkpurple', spin = TRUE, squareMarker = FALSE) ) leaflet(quakes[1:3,]) %>% addTiles() %>% addAwesomeMarkers(lat = ~lat, lng = ~long, icon = iconSet) %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'horizontal', title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') %>% addLegendAwesomeIcon(iconSet = iconSet, orientation = 'vertical', marker = FALSE, title = htmltools::tags$div( style = 'font-size: 20px;', 'Awesome Icons'), labelStyle = 'font-size: 16px;') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addAwesomeMarkers\",\"args\":[[-20.42,-20.62,-26],[181.62,181.03,184.1],{\"icon\":[\"font-awesome\",\"ionic\",\"plus-sign\"],\"markerColor\":[\"red\",\"blue\",\"darkpurple\"],\"iconColor\":[\"gold\",\"#ffffff\",\"rgb(192, 255, 0)\"],\"spin\":[false,true,true],\"squareMarker\":[true,false,false],\"iconRotate\":[30,0,0],\"prefix\":[\"fa\",\"ion\",\"glyphicon\"]},null,null,{\"interactive\":true,\"draggable\":false,\"keyboard\":true,\"title\":\"\",\"alt\":\"\",\"zIndexOffset\":0,\"opacity\":1,\"riseOnHover\":false,\"riseOffset\":250},null,null,null,null,null,{\"interactive\":false,\"permanent\":false,\"direction\":\"auto\",\"opacity\":1,\"offset\":[0,0],\"textsize\":\"10px\",\"textOnly\":false,\"className\":\"\",\"sticky\":true},null]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/span>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n Awesome Icons<\\/div>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Font Awesome<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Ionic<\\/span>\\n<\\/div>\\n\\n \\n <\\/i>\\n <\\/div>\\n Glyphicon<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-26,-20.42],\"lng\":[181.03,184.1]}},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":null,"dir":"Reference","previous_headings":"","what":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"Functions control styling 'leaflet' legends. 'leaflet' map passed output 'leaflet' control legends integrated functionality API. Style text labels, symbols used, orientation legend items, sizing elements.","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"addLegendNumeric( map, pal, values, title = NULL, shape = c(\"rect\", \"stadium\"), orientation = c(\"vertical\", \"horizontal\"), width = 20, height = 100, bins = 7, numberFormat = function(x) { prettyNum(x, format = \"f\", big.mark = \",\", digits = 3, scientific = FALSE) }, tickLength = 4, tickWidth = 1, decreasing = FALSE, fillOpacity = 1, group = NULL, labels = NULL, naLabel = \"NA\", labelStyle = \"\", className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendQuantile( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendBin( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, numberFormat = function(x) { format(round(x, 3), big.mark = \",\", trim = TRUE, scientific = FALSE) }, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", between = \" - \", data = leaflet::getMapData(map), ... ) addLegendFactor( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), width = 24, height = 24, opacity = 1, fillOpacity = opacity, group = NULL, className = \"info legend leaflet-control\", naLabel = \"NA\", data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate colors palette function title legend title, pass HTML style shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally width pixels height pixels bins approximate number tick-marks color gradient colorNumeric palette numberFormat formatting functions numbers displayed e.g. format, prettyNum tickLength pixels tickWidth pixels decreasing order numbers legend fillOpacity fill opacity legend items group group name leaflet layer group labels labels naLabel legend label NAs values labelStyle character string style argument HTML text className extra CSS class append control, space separated data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl opacity opacity legend items separator legend range labels","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/addLeafLegends.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add Customizable Color Legends to a 'leaflet' map widget — addLeafLegends","text":"","code":"library(leaflet) data(quakes) # Numeric Legend numPal <- colorNumeric('viridis', quakes$depth) leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric (Horizontal)', orientation = 'horizontal', shape = 'rect', decreasing = FALSE, height = 20, width = 100 ) %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = htmltools::tags$div('addLegendNumeric (Decreasing)', style = 'font-size: 24px; text-align: center; margin-bottom: 5px;'), orientation = 'vertical', shape = 'stadium', decreasing = TRUE, height = 100, width = 20 ) %>% addLegend(pal = numPal, values = quakes$depth, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Horizontal)<\\/strong>\\n<\\/div>\\n\\n \\n 680<\\/p>\\n 40<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric (Decreasing)<\\/div>\\n<\\/div>\\n\\n \\n 100<\\/p>\\n 200<\\/p>\\n 300<\\/p>\\n 400<\\/p>\\n 500<\\/p>\\n 600<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154 , #482374 9.375%, #3B528B 25%, #297A8E 40.625%, #1F9F88 56.25%, #4DC26C 71.875%, #AADC32 87.5%, #FDE725 \"],\"labels\":[\"100\",\"200\",\"300\",\"400\",\"500\",\"600\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"numeric\",\"title\":\"addLegend\",\"extra\":{\"p_1\":0.09375,\"p_n\":0.875},\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}]},\"evals\":[],\"jsHooks\":[]} # Quantile Legend # defaults to adding quantile numeric break points quantPal <- colorQuantile('viridis', quakes$mag, n = 5) leaflet() %>% addTiles() %>% addCircleMarkers(data = quakes, lat = ~lat, lng = ~long, color = ~quantPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', numberFormat = function(x) {prettyNum(x, big.mark = ',', scientific = FALSE, digits = 2)}, shape = 'circle') %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = htmltools::tags$div('addLegendQuantile', htmltools::tags$br(), '(Omit Numbers)'), numberFormat = NULL, shape = 'circle') %>% addLegend(pal = quantPal, values = quakes$mag, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4.3)<\\/span>\\n\\n\\n 20% - 40% (4.3 - 4.5)<\\/span>\\n\\n\\n 40% - 60% (4.5 - 4.7)<\\/span>\\n\\n\\n 60% - 80% (4.7 - 4.9)<\\/span>\\n\\n\\n 80% - 100% (4.9 - 6.4)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n \\n addLegendQuantile\\n \\n (Omit Numbers)\\n <\\/div>\\n<\\/div>\\n\\n 0% - 20%<\\/span>\\n\\n\\n 20% - 40%<\\/span>\\n\\n\\n 40% - 60%<\\/span>\\n\\n\\n 60% - 80%<\\/span>\\n\\n\\n 80% - 100%<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154\",\"#3B528B\",\"#21908D\",\"#5DC863\",\"#FDE725\"],\"labels\":[\"0% – 20%<\\/span>\",\"20% – 40%<\\/span>\",\"40% – 60%<\\/span>\",\"60% – 80%<\\/span>\",\"80% – 100%<\\/span>\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"quantile\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Factor Legend # Style the title with html tags, several shapes are supported drawn with svg quakes[['group']] <- sample(c('A', 'B', 'C'), nrow(quakes), replace = TRUE) factorPal <- colorFactor('Dark2', quakes$group) leaflet() %>% addTiles() %>% addCircleMarkers( data = quakes, lat = ~ lat, lng = ~ long, color = ~ factorPal(group), opacity = 1, fillOpacity = 1 ) %>% addLegendFactor( pal = factorPal, title = htmltools::tags$div('addLegendFactor', style = 'font-size: 24px; color: red;'), values = quakes$group, position = 'topright', shape = 'triangle', width = 50, height = 50 ) %>% addLegend(pal = factorPal, values = quakes$group, title = 'addLegend') 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addLegendFactor<\\/div>\\n<\\/div>\\n\\n A<\\/span>\\n\\n\\n B<\\/span>\\n\\n\\n C<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#1B9E77\",\"#D95F02\",\"#7570B3\"],\"labels\":[\"A\",\"B\",\"C\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"factor\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Bin Legend # Restyle the text of the labels, change the legend item orientation binPal <- colorBin('Set1', quakes$mag) leaflet(quakes) %>% addTiles() %>% addCircleMarkers( lat = ~ lat, lng = ~ long, color = ~ binPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendBin( pal = binPal, position = 'topright', values = ~mag, title = 'addLegendBin', labelStyle = 'font-size: 18px; font-weight: bold;', orientation = 'horizontal' ) %>% 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addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n 4.5 - 5.0<\\/span>\\n\\n 5.0 - 5.5<\\/span>\\n\\n 5.5 - 6.0<\\/span>\\n\\n 6.0 - 6.5<\\/span>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#E41A1C\",\"#377EB8\",\"#4DAF4A\",\"#984EA3\",\"#FF7F00\"],\"labels\":[\"4.0 – 4.5\",\"4.5 – 5.0\",\"5.0 – 5.5\",\"5.5 – 6.0\",\"6.0 – 6.5\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"bin\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Group Layer Control # Works with baseGroups and overlayGroups leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric', group = 'Numeric Data' ) %>% addLegendQuantile( pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', group = 'Quantile' ) %>% addLegendBin( data = quakes, pal = binPal, position = 'bottomleft', title = 'addLegendBin', group = 'Bin', values = ~mag ) %>% addLayersControl( baseGroups = c('Numeric Data', 'Quantile'), overlayGroups = c('Bin'), position = 'bottomright' ) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric<\\/strong>\\n<\\/div>\\n\\n \\n 600<\\/p>\\n 500<\\/p>\\n 400<\\/p>\\n 300<\\/p>\\n 200<\\/p>\\n 100<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control leaflegend-group-NumericData\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4)<\\/span>\\n\\n\\n 20% - 40% (4 - 4)<\\/span>\\n\\n\\n 40% - 60% (4 - 5)<\\/span>\\n\\n\\n 60% - 80% (5 - 5)<\\/span>\\n\\n\\n 80% - 100% (5 - 6)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control leaflegend-group-Quantile\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n\\n 4.5 - 5.0<\\/span>\\n\\n\\n 5.0 - 5.5<\\/span>\\n\\n\\n 5.5 - 6.0<\\/span>\\n\\n\\n 6.0 - 6.5<\\/span>\\n\",\"bottomleft\",null,\"info legend leaflet-control leaflegend-group-Bin\"]},{\"method\":\"addLayersControl\",\"args\":[[\"Numeric Data\",\"Quantile\"],\"Bin\",{\"collapsed\":true,\"autoZIndex\":true,\"position\":\"bottomright\"}]}]},\"evals\":[],\"jsHooks\":{\"render\":[{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null}]}}"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":null,"dir":"Reference","previous_headings":"","what":"Available shapes for map symbols — availableShapes","title":"Available shapes for map symbols — availableShapes","text":"Available shapes map symbols","code":""},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Available shapes for map symbols — availableShapes","text":"","code":"availableShapes()"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Available shapes for map symbols — availableShapes","text":"list available shapes","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-1110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.10","title":"leaflegend 1.1.10","text":"addLegendNumeric gains labelStyle argument significant improvements layout handle larger font sizes long text widths. added stacked argument addLegendSize allow size legends compact symbols overlayed. See examples ?addLegendSize. groups can now underscores name show/hide functionality. added argument addLegendBin addLegendQuantile users can change dash. fixed issue addSymbols addSymbolsSize worked directly specifying lat lng. now work sf objects. added dashArray argument symbols functions. main purpose allow dashed line encodings, symbols can dashed outer lines.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-111","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.1","title":"leaflegend 1.1.1","text":"CRAN release: 2023-08-19 updating test ‘leaflet’ changes v2.2.0 pch solid symbols 15-20 use color fillColor missing","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.0","title":"leaflegend 1.1.0","text":"CRAN release: 2023-05-04 availableShapes provided convenience look supported symbol names. addLegendFactor, addLegendBin, addLegendQuantile now show symbol missing values exist gain naLabel argument. Label spacing adjustments addLegendNumeric support longer labels. addLegendNumeric gains argument naLabel now shows NA color missing values. addLegendNumeric gains argument labels allows user pass label names numeric breaks. breaks argument addLegendLine addLegendSize now allows user pass named list names labels. makeSymbol makeSymbolIcons can now create map symbols consistent base R pch. shape argument can accept name integer (0-indexed). availableShapes provides list named options.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-100","dir":"Changelog","previous_headings":"","what":"leaflegend 1.0.0","title":"leaflegend 1.0.0","text":"CRAN release: 2022-08-05 new function addLegendSymbol added automatically encode character/factors various map symbols. default argument baseSize addLegendSize changed 20. values argument longer used addLegendBin since necessary causes problems number values less number bins. Updated example README Documentation updated makeSymbols name changed mapSymbols additional functions added . Internal functions renamed match naming conventions. Renamed makeSizeIcons makeSymbolsSize consistent naming conventions. colorValues argument removed. functionality, specify vector color fillColor. Fixed issue image styling missing raster images addLegendImage Added functions automate task creating map symbols. addSymbols create map symbols based character factor vector. addSymbolsSize create map symbols size encoding. Code re-factoring addLegendBin, addLegendQuantile, addLegendFactor grouping values different assembly HTML . Unit tests added cover current functions. Gradient IDs numeric legends now based function call data “name” values. makeSizeIcons default opacity now 1. Adding internal functions add dependencies addLegendAwesomeIcon. Awesome Icons show legends needed HTML dependencies loaded unless addAwesomeIcons included. addLegendAwesomeIcon now check dependencies “leaflet” map include missing. Added error messages invalid width, height, tickWidth, tickLength, strokeWidth arguments. Prior negative values throw errors visual output legends desirable. Ability specify values parameter formula retrieve data argument “leaflet” package. makeSymbolIcons now supports vectorization multiple shape arguments Awesome icons now centered marker addLegendAwesomeIcon adding support text parameter passed addLegendAwesomeIcon. allows svg passed icon.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-061","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.1","title":"leaflegend 0.6.1","text":"CRAN release: 2022-03-03 patching examples use png files leaflet js site since moved. adding leaf images png files examples","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-060","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.0","title":"leaflegend 0.6.0","text":"CRAN release: 2022-01-17 updated layers control handle special characters group name. non-alphanumeric characters removed class names javascript selectors. added better error message missing color pal adding addLegendLine add height encoding size based values","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-050","dir":"Changelog","previous_headings":"","what":"leaflegend 0.5.0","title":"leaflegend 0.5.0","text":"CRAN release: 2021-10-28 updated example README adding addLegendAwesomeIcon function produce legends markers awesome icon libraries adding line polygon symbol adding symbols README","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-040","dir":"Changelog","previous_headings":"","what":"leaflegend 0.4.0","title":"leaflegend 0.4.0","text":"CRAN release: 2021-07-23 fixes error makeSizeLegend fillColor evaluated argument provided adding colorValues argument makeSizeLegend symbols can sized colored different vectors data fixes warning addLegendNumeric shape default vector single value adding number formatting addSizeLegend adding group layer support legends. Use addLayersControl turn /legends added example using raster images size encodings based data","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-030","dir":"Changelog","previous_headings":"","what":"leaflegend 0.3.0","title":"leaflegend 0.3.0","text":"CRAN release: 2021-05-21 stroke outlines shapes now padded stroke cut numeric legends now appropriate sizing text star symbol outline fixed new function makeSizeIcons convenience wrapper size scaled symbols","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-020","dir":"Changelog","previous_headings":"","what":"leaflegend 0.2.0","title":"leaflegend 0.2.0","text":"CRAN release: 2021-02-23 new functions addLegendSize, sizeNumeric, sizeBreaks added allow encoding size symbols. addLegendImage supports multiple height width parameters images want different sizes addLegendImage now supports using svg URI output makeSymbol. supply custom svg URI, add ‘svgURI’ class character vector. added shapes makeSymbol, addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin Control opacity legend shapes addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin makeSymbol now returns embeddable svg","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-010","dir":"Changelog","previous_headings":"","what":"leaflegend 0.1.0","title":"leaflegend 0.1.0","text":"CRAN release: 2021-01-25 Added NEWS.md file track changes package.","code":""}] +[{"path":"https://leaflegend.roh.engineering/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Thomas Roh. Author, maintainer. Ricardo Rodrigo Basa. Contributor.","code":""},{"path":"https://leaflegend.roh.engineering/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Roh T (2024). leaflegend: Add Custom Legends 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.","code":"@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }"},{"path":"https://leaflegend.roh.engineering/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Thomas P. Roh Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"leaflegend-","dir":"","previous_headings":"","what":"Add Custom Legends to leaflet Maps","title":"Add Custom Legends to leaflet Maps","text":"package provides extensions leaflet package customize leaflet legends without adding outside css file output style legends. legend extensions allow user add images legends, style labels legend items, change orientation legend items, use different symbologies, style axis ticks. Syntax style consistent leaflet package. Helper functions provided create map symbols plotting well.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Add Custom Legends to leaflet Maps","text":"can install released version leaflegend CRAN : Install development version :","code":"install.packages(\"leaflegend\") devtools::install_github(\"tomroh/leaflegend\")"},{"path":"https://leaflegend.roh.engineering/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Add Custom Legends to leaflet Maps","text":"Introduction leaflegend Map Symbols Size Legends Awesome Marker Legends leaflegend Recipes","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"map-symbols","dir":"","previous_headings":"","what":"Map Symbols","title":"Add Custom Legends to leaflet Maps","text":"default pch","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Add Custom Legends to leaflet Maps","text":"Use addLegend*() create easily customizable legends leaflet.","code":"library(leaflet) library(leaflegend) set.seed(21) data(\"gadmCHE\") gadmCHE@data$x <- sample(c('A', 'B', 'C'), nrow(gadmCHE@data), replace = TRUE) factorPal <- colorFactor(c('#1f77b4', '#ff7f0e' , '#2ca02c'), gadmCHE@data$x) n <- 10 awesomeMarkers <- data.frame( marker = sample(c('Font Awesome', 'Ionic', 'Glyphicon'), n, replace = TRUE), lng = runif(n, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) n2 <- 30 symbolMarkers <- data.frame( x = runif(n2, 0, 100), y = runif(n2, 10, 30), lng = runif(n2, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n2, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) numericPal <- colorNumeric(hcl.colors(10, palette = 'zissou'), symbolMarkers$y) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'rgb(192, 255, 0)', markerColor = 'lightgray', squareMarker = TRUE, iconRotate = 30 ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = 'gold', markerColor = 'gray', squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = '#ffffff', markerColor = 'black', squareMarker = FALSE) ) leaflet() |> addTiles() |> addPolygons(data = gadmCHE, color = ~factorPal(x), fillOpacity = .5, opacity = 0, group = 'Polygons') |> addLegendFactor(pal = factorPal, shape = 'polygon', fillOpacity = .5, opacity = 0, values = ~x, title = 'addLegendFactor', position = 'topright', data = gadmCHE, group = 'Polygons') |> addAwesomeMarkers(data = awesomeMarkers, lat = ~lat, lng = ~lng, icon = ~iconSet[marker], group = 'Awesome Icons') |> addLegendAwesomeIcon(iconSet = iconSet, title = 'addLegendAwesomeIcon', position = 'bottomleft', group = 'Awesome Icons') |> addSymbolsSize(data = symbolMarkers, fillOpacity = .7, shape = 'plus', values = ~x, lat = ~lat, lng = ~lng, baseSize = 20, fillColor = ~numericPal(y), color = 'black', group = 'Symbols') |> addLegendSize(pal = numericPal, shape = 'plus', color = 'black', fillColor = 'transparent', baseSize = 20, fillOpacity = .7, values = ~x, orientation = 'horizontal', title = 'addSizeLegend', position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLegendNumeric(pal = numericPal, values = ~y, title = 'addLegendNumeric', orientation = 'horizontal', fillOpacity = .7, width = 150, height = 20, position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLayersControl(overlayGroups = c('Polygons', 'Awesome Icons', 'Symbols'), position = 'topleft', options = layersControlOptions(collapsed = FALSE))"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"Add legend sizing symbols width lines","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"addLegendSize( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 20, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", stacked = FALSE, data = leaflet::getMapData(map), ... ) addLegendLine( map, pal, values, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), width = 20, color, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 10, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendSymbol( map, pal, values, title = NULL, labelStyle = \"\", shape, orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, width = 20, height = width, group = NULL, className = \"info legend leaflet-control\", dashArray = NULL, data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate sizes colorValues specified pal given, values used generate colors palette function title legend title, pass HTML style labelStyle character string style argument HTML text shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally color color legend symbols, omitted pal used fillColor fill color symbol strokeWidth width symbol outline opacity opacity legend items fillOpacity fill opacity legend items breaks integer specifying number breaks numeric vector breaks baseSize re-scaling size pixels mean values, average value exact size numberFormat formatting functions numbers displayed e.g. format, prettyNum group group name leaflet layer group className extra CSS class append control, space separated stacked TRUE, symbols overlayed onto compact size legend data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl addLegendSize pretty sizeBreaks makeSymbol makeSymbolsSize width width pixels lines height pixels dashArray string vector/list strings defines stroke dash pattern","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"library(leaflet) data(\"quakes\") quakes <- quakes[1:100,] numPal <- colorNumeric('viridis', quakes$depth) sizes <- sizeNumeric(quakes$depth, baseSize = 10) symbols <- Map( makeSymbol, shape = 'triangle', color = numPal(quakes$depth), width = sizes, height = sizes ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = icons(iconUrl = symbols), lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( quakes$depth, shape = 'cross', fillColor = numPal(quakes$depth), color = 'black', strokeWidth = 1, opacity = .8, fillOpacity = .5, baseSize = 20 ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = sizeSymbols, lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', shape = 'cross', orientation = 'horizontal', strokeWidth = 1, opacity = .8, fillOpacity = .5, color = 'black', baseSize = 20, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/span>\\n\\n \\n 200<\\/span>\\n<\\/span>\\n\\n \\n 300<\\/span>\\n<\\/span>\\n\\n \\n 400<\\/span>\\n<\\/span>\\n\\n \\n 500<\\/span>\\n<\\/span>\\n\\n \\n 600<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # Group layers control leaflet() %>% addTiles() %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n
680<\\/p>\\n
40<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"
100<\\/p>\\n
200<\\/p>\\n
300<\\/p>\\n
400<\\/p>\\n
500<\\/p>\\n
600<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154 , #482374 9.375%, #3B528B 25%, #297A8E 40.625%, #1F9F88 56.25%, #4DC26C 71.875%, #AADC32 87.5%, #FDE725 \"],\"labels\":[\"100\",\"200\",\"300\",\"400\",\"500\",\"600\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"numeric\",\"title\":\"addLegend\",\"extra\":{\"p_1\":0.09375,\"p_n\":0.875},\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}]},\"evals\":[],\"jsHooks\":[]} # Quantile Legend # defaults to adding quantile numeric break points quantPal <- colorQuantile('viridis', quakes$mag, n = 5) leaflet() %>% addTiles() %>% addCircleMarkers(data = quakes, lat = ~lat, lng = ~long, color = ~quantPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', numberFormat = function(x) {prettyNum(x, big.mark = ',', scientific = FALSE, digits = 2)}, shape = 'circle') %>% addLegendQuantile(pal = quantPal, values = quakes$mag, position = 'topright', title = htmltools::tags$div('addLegendQuantile', htmltools::tags$br(), '(Omit Numbers)'), numberFormat = NULL, shape = 'circle') %>% addLegend(pal = quantPal, values = quakes$mag, title = 'addLegend') {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, 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addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4.3)<\\/span>\\n\\n\\n 20% - 40% (4.3 - 4.5)<\\/span>\\n\\n\\n 40% - 60% (4.5 - 4.7)<\\/span>\\n\\n\\n 60% - 80% (4.7 - 4.9)<\\/span>\\n\\n\\n 80% - 100% (4.9 - 6.4)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addControl\",\"args\":[\"\\n \\n addLegendQuantile\\n \\n (Omit Numbers)\\n <\\/div>\\n<\\/div>\\n\\n 0% - 20%<\\/span>\\n\\n\\n 20% - 40%<\\/span>\\n\\n\\n 40% - 60%<\\/span>\\n\\n\\n 60% - 80%<\\/span>\\n\\n\\n 80% - 100%<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#440154\",\"#3B528B\",\"#21908D\",\"#5DC863\",\"#FDE725\"],\"labels\":[\"0% – 20%<\\/span>\",\"20% – 40%<\\/span>\",\"40% – 60%<\\/span>\",\"60% – 80%<\\/span>\",\"80% – 100%<\\/span>\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"quantile\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Factor Legend # Style the title with html tags, several shapes are supported drawn with svg quakes[['group']] <- sample(c('A', 'B', 'C'), nrow(quakes), replace = TRUE) factorPal <- colorFactor('Dark2', quakes$group) leaflet() %>% addTiles() %>% addCircleMarkers( data = quakes, lat = ~ lat, lng = ~ long, color = ~ factorPal(group), opacity = 1, fillOpacity = 1 ) %>% addLegendFactor( pal = factorPal, title = htmltools::tags$div('addLegendFactor', style = 'font-size: 24px; color: red;'), values = quakes$group, position = 'topright', shape = 'triangle', width = 50, height = 50 ) %>% addLegend(pal = factorPal, values = quakes$group, title = 'addLegend') 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addLegendFactor<\\/div>\\n<\\/div>\\n\\n A<\\/span>\\n\\n\\n B<\\/span>\\n\\n\\n C<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#1B9E77\",\"#D95F02\",\"#7570B3\"],\"labels\":[\"A\",\"B\",\"C\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"factor\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Bin Legend # Restyle the text of the labels, change the legend item orientation binPal <- colorBin('Set1', quakes$mag) leaflet(quakes) %>% addTiles() %>% addCircleMarkers( lat = ~ lat, lng = ~ long, color = ~ binPal(mag), opacity = 1, fillOpacity = 1 ) %>% addLegendBin( pal = binPal, position = 'topright', values = ~mag, title = 'addLegendBin', labelStyle = 'font-size: 18px; font-weight: bold;', orientation = 'horizontal' ) %>% 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addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n 4.5 - 5.0<\\/span>\\n\\n 5.0 - 5.5<\\/span>\\n\\n 5.5 - 6.0<\\/span>\\n\\n 6.0 - 6.5<\\/span>\",\"topright\",null,\"info legend leaflet-control\"]},{\"method\":\"addLegend\",\"args\":[{\"colors\":[\"#E41A1C\",\"#377EB8\",\"#4DAF4A\",\"#984EA3\",\"#FF7F00\"],\"labels\":[\"4.0 – 4.5\",\"4.5 – 5.0\",\"5.0 – 5.5\",\"5.5 – 6.0\",\"6.0 – 6.5\"],\"na_color\":null,\"na_label\":\"NA\",\"opacity\":0.5,\"position\":\"topright\",\"type\":\"bin\",\"title\":\"addLegend\",\"extra\":null,\"layerId\":null,\"className\":\"info legend\",\"group\":null}]}],\"limits\":{\"lat\":[-38.59,-10.72],\"lng\":[165.67,188.13]}},\"evals\":[],\"jsHooks\":[]} # Group Layer Control # Works with baseGroups and overlayGroups leaflet() %>% addTiles() %>% addLegendNumeric( pal = numPal, values = quakes$depth, position = 'topright', title = 'addLegendNumeric', group = 'Numeric Data' ) %>% addLegendQuantile( pal = quantPal, values = quakes$mag, position = 'topright', title = 'addLegendQuantile', group = 'Quantile' ) %>% addLegendBin( data = quakes, pal = binPal, position = 'bottomleft', title = 'addLegendBin', group = 'Bin', values = ~mag ) %>% addLayersControl( baseGroups = c('Numeric Data', 'Quantile'), overlayGroups = c('Bin'), position = 'bottomright' ) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendNumeric<\\/strong>\\n<\\/div>\\n\\n \\n 600<\\/p>\\n 500<\\/p>\\n 400<\\/p>\\n 300<\\/p>\\n 200<\\/p>\\n 100<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control leaflegend-group-NumericData\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendQuantile<\\/strong>\\n<\\/div>\\n\\n 0% - 20% (4 - 4)<\\/span>\\n\\n\\n 20% - 40% (4 - 4)<\\/span>\\n\\n\\n 40% - 60% (4 - 5)<\\/span>\\n\\n\\n 60% - 80% (5 - 5)<\\/span>\\n\\n\\n 80% - 100% (5 - 6)<\\/span>\\n\",\"topright\",null,\"info legend leaflet-control leaflegend-group-Quantile\"]},{\"method\":\"addControl\",\"args\":[\"\\n addLegendBin<\\/strong>\\n<\\/div>\\n\\n 4.0 - 4.5<\\/span>\\n\\n\\n 4.5 - 5.0<\\/span>\\n\\n\\n 5.0 - 5.5<\\/span>\\n\\n\\n 5.5 - 6.0<\\/span>\\n\\n\\n 6.0 - 6.5<\\/span>\\n\",\"bottomleft\",null,\"info legend leaflet-control leaflegend-group-Bin\"]},{\"method\":\"addLayersControl\",\"args\":[[\"Numeric Data\",\"Quantile\"],\"Bin\",{\"collapsed\":true,\"autoZIndex\":true,\"position\":\"bottomright\"}]}]},\"evals\":[],\"jsHooks\":{\"render\":[{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null},{\"code\":\"function(el, x, data) {\\n return (\\nfunction(el, x) {\\n var updateLeafLegend = function() {\\n var controlGroups = document.querySelectorAll(\\n 'input.leaflet-control-layers-selector');\\n controlGroups.forEach(g => {\\n var groupName = g.nextSibling.innerText.substr(1);\\n var className = 'leaflegend-group-' +\\n groupName.replace(/[^a-zA-Z0-9]/g, '');\\n var checked = g.checked;\\n document.querySelectorAll('.legend.' + className).forEach(l => {\\n l.hidden = !checked;\\n })\\n })\\n }\\n\\n updateLeafLegend();\\n this.on('baselayerchange', el => updateLeafLegend())\\n this.on('overlayadd', el => updateLeafLegend());\\n this.on('overlayremove', el => updateLeafLegend());\\n}\\n ).call(this.getMap(), el, x, data);\\n}\",\"data\":null}]}}"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":null,"dir":"Reference","previous_headings":"","what":"Available shapes for map symbols — availableShapes","title":"Available shapes for map symbols — availableShapes","text":"Available shapes map symbols","code":""},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Available shapes for map symbols — availableShapes","text":"","code":"availableShapes()"},{"path":"https://leaflegend.roh.engineering/reference/availableShapes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Available shapes for map symbols — availableShapes","text":"list available shapes","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-1110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.10","title":"leaflegend 1.1.10","text":"addLegendNumeric gains labelStyle argument significant improvements layout handle larger font sizes long text widths. added stacked argument addLegendSize allow size legends compact symbols overlayed. See examples ?addLegendSize. groups can now underscores name show/hide functionality. added argument addLegendBin addLegendQuantile users can change dash. fixed issue addSymbols addSymbolsSize worked directly specifying lat lng. now work sf objects. added dashArray argument symbols functions. main purpose allow dashed line encodings, symbols can dashed outer lines.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-111","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.1","title":"leaflegend 1.1.1","text":"CRAN release: 2023-08-19 updating test ‘leaflet’ changes v2.2.0 pch solid symbols 15-20 use color fillColor missing","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-110","dir":"Changelog","previous_headings":"","what":"leaflegend 1.1.0","title":"leaflegend 1.1.0","text":"CRAN release: 2023-05-04 availableShapes provided convenience look supported symbol names. addLegendFactor, addLegendBin, addLegendQuantile now show symbol missing values exist gain naLabel argument. Label spacing adjustments addLegendNumeric support longer labels. addLegendNumeric gains argument naLabel now shows NA color missing values. addLegendNumeric gains argument labels allows user pass label names numeric breaks. breaks argument addLegendLine addLegendSize now allows user pass named list names labels. makeSymbol makeSymbolIcons can now create map symbols consistent base R pch. shape argument can accept name integer (0-indexed). availableShapes provides list named options.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-100","dir":"Changelog","previous_headings":"","what":"leaflegend 1.0.0","title":"leaflegend 1.0.0","text":"CRAN release: 2022-08-05 new function addLegendSymbol added automatically encode character/factors various map symbols. default argument baseSize addLegendSize changed 20. values argument longer used addLegendBin since necessary causes problems number values less number bins. Updated example README Documentation updated makeSymbols name changed mapSymbols additional functions added . Internal functions renamed match naming conventions. Renamed makeSizeIcons makeSymbolsSize consistent naming conventions. colorValues argument removed. functionality, specify vector color fillColor. Fixed issue image styling missing raster images addLegendImage Added functions automate task creating map symbols. addSymbols create map symbols based character factor vector. addSymbolsSize create map symbols size encoding. Code re-factoring addLegendBin, addLegendQuantile, addLegendFactor grouping values different assembly HTML . Unit tests added cover current functions. Gradient IDs numeric legends now based function call data “name” values. makeSizeIcons default opacity now 1. Adding internal functions add dependencies addLegendAwesomeIcon. Awesome Icons show legends needed HTML dependencies loaded unless addAwesomeIcons included. addLegendAwesomeIcon now check dependencies “leaflet” map include missing. Added error messages invalid width, height, tickWidth, tickLength, strokeWidth arguments. Prior negative values throw errors visual output legends desirable. Ability specify values parameter formula retrieve data argument “leaflet” package. makeSymbolIcons now supports vectorization multiple shape arguments Awesome icons now centered marker addLegendAwesomeIcon adding support text parameter passed addLegendAwesomeIcon. allows svg passed icon.","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-061","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.1","title":"leaflegend 0.6.1","text":"CRAN release: 2022-03-03 patching examples use png files leaflet js site since moved. adding leaf images png files examples","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-060","dir":"Changelog","previous_headings":"","what":"leaflegend 0.6.0","title":"leaflegend 0.6.0","text":"CRAN release: 2022-01-17 updated layers control handle special characters group name. non-alphanumeric characters removed class names javascript selectors. added better error message missing color pal adding addLegendLine add height encoding size based values","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-050","dir":"Changelog","previous_headings":"","what":"leaflegend 0.5.0","title":"leaflegend 0.5.0","text":"CRAN release: 2021-10-28 updated example README adding addLegendAwesomeIcon function produce legends markers awesome icon libraries adding line polygon symbol adding symbols README","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-040","dir":"Changelog","previous_headings":"","what":"leaflegend 0.4.0","title":"leaflegend 0.4.0","text":"CRAN release: 2021-07-23 fixes error makeSizeLegend fillColor evaluated argument provided adding colorValues argument makeSizeLegend symbols can sized colored different vectors data fixes warning addLegendNumeric shape default vector single value adding number formatting addSizeLegend adding group layer support legends. Use addLayersControl turn /legends added example using raster images size encodings based data","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-030","dir":"Changelog","previous_headings":"","what":"leaflegend 0.3.0","title":"leaflegend 0.3.0","text":"CRAN release: 2021-05-21 stroke outlines shapes now padded stroke cut numeric legends now appropriate sizing text star symbol outline fixed new function makeSizeIcons convenience wrapper size scaled symbols","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-020","dir":"Changelog","previous_headings":"","what":"leaflegend 0.2.0","title":"leaflegend 0.2.0","text":"CRAN release: 2021-02-23 new functions addLegendSize, sizeNumeric, sizeBreaks added allow encoding size symbols. addLegendImage supports multiple height width parameters images want different sizes addLegendImage now supports using svg URI output makeSymbol. supply custom svg URI, add ‘svgURI’ class character vector. added shapes makeSymbol, addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin Control opacity legend shapes addLegendNumeric, addLegendQuantile, addLegendFactor, addLegendBin makeSymbol now returns embeddable svg","code":""},{"path":"https://leaflegend.roh.engineering/news/index.html","id":"leaflegend-010","dir":"Changelog","previous_headings":"","what":"leaflegend 0.1.0","title":"leaflegend 0.1.0","text":"CRAN release: 2021-01-25 Added NEWS.md file track changes package.","code":""}] +[{"path":"https://leaflegend.roh.engineering/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Thomas Roh. Author, maintainer. Ricardo Rodrigo Basa. Contributor.","code":""},{"path":"https://leaflegend.roh.engineering/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Roh T (2024). leaflegend: Add Custom Legends 'leaflet' Maps. https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend.","code":"@Manual{, title = {leaflegend: Add Custom Legends to 'leaflet' Maps}, author = {Thomas Roh}, year = {2024}, note = {https://leaflegend.roh.engineering, https://github.com/tomroh/leaflegend}, }"},{"path":"https://leaflegend.roh.engineering/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Thomas P. Roh Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"leaflegend-","dir":"","previous_headings":"","what":"Add Custom Legends to leaflet Maps","title":"Add Custom Legends to leaflet Maps","text":"package provides extensions leaflet package customize leaflet legends without adding outside css file output style legends. legend extensions allow user add images legends, style labels legend items, change orientation legend items, use different symbologies, style axis ticks. Syntax style consistent leaflet package. Helper functions provided create map symbols plotting well.","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Add Custom Legends to leaflet Maps","text":"can install released version leaflegend CRAN : Install development version :","code":"install.packages(\"leaflegend\") devtools::install_github(\"tomroh/leaflegend\")"},{"path":"https://leaflegend.roh.engineering/index.html","id":"tutorials","dir":"","previous_headings":"","what":"Tutorials","title":"Add Custom Legends to leaflet Maps","text":"Introduction leaflegend Map Symbols Size Legends Awesome Marker Legends leaflegend Recipes","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"map-symbols","dir":"","previous_headings":"","what":"Map Symbols","title":"Add Custom Legends to leaflet Maps","text":"default pch","code":""},{"path":"https://leaflegend.roh.engineering/index.html","id":"example","dir":"","previous_headings":"","what":"Example","title":"Add Custom Legends to leaflet Maps","text":"Use addLegend*() create easily customizable legends leaflet.","code":"library(leaflet) library(leaflegend) set.seed(21) data(\"gadmCHE\") gadmCHE@data$x <- sample(c('A', 'B', 'C'), nrow(gadmCHE@data), replace = TRUE) factorPal <- colorFactor(c('#1f77b4', '#ff7f0e' , '#2ca02c'), gadmCHE@data$x) n <- 10 awesomeMarkers <- data.frame( marker = sample(c('Font Awesome', 'Ionic', 'Glyphicon'), n, replace = TRUE), lng = runif(n, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) n2 <- 30 symbolMarkers <- data.frame( x = runif(n2, 0, 100), y = runif(n2, 10, 30), lng = runif(n2, gadmCHE@bbox[1,1], gadmCHE@bbox[1,2]), lat = runif(n2, gadmCHE@bbox[2,1], gadmCHE@bbox[2,2]) ) numericPal <- colorNumeric(hcl.colors(10, palette = 'zissou'), symbolMarkers$y) iconSet <- awesomeIconList( `Font Awesome` = makeAwesomeIcon(icon = \"font-awesome\", library = \"fa\", iconColor = 'rgb(192, 255, 0)', markerColor = 'lightgray', squareMarker = TRUE, iconRotate = 30 ), Ionic = makeAwesomeIcon(icon = \"ionic\", library = \"ion\", iconColor = 'gold', markerColor = 'gray', squareMarker = FALSE), Glyphicon = makeAwesomeIcon(icon = \"plus-sign\", library = \"glyphicon\", iconColor = '#ffffff', markerColor = 'black', squareMarker = FALSE) ) leaflet() |> addTiles() |> addPolygons(data = gadmCHE, color = ~factorPal(x), fillOpacity = .5, opacity = 0, group = 'Polygons') |> addLegendFactor(pal = factorPal, shape = 'polygon', fillOpacity = .5, opacity = 0, values = ~x, title = 'addLegendFactor', position = 'topright', data = gadmCHE, group = 'Polygons') |> addAwesomeMarkers(data = awesomeMarkers, lat = ~lat, lng = ~lng, icon = ~iconSet[marker], group = 'Awesome Icons') |> addLegendAwesomeIcon(iconSet = iconSet, title = 'addLegendAwesomeIcon', position = 'bottomleft', group = 'Awesome Icons') |> addSymbolsSize(data = symbolMarkers, fillOpacity = .7, shape = 'plus', values = ~x, lat = ~lat, lng = ~lng, baseSize = 20, fillColor = ~numericPal(y), color = 'black', group = 'Symbols') |> addLegendSize(pal = numericPal, shape = 'plus', color = 'black', fillColor = 'transparent', baseSize = 20, fillOpacity = .7, values = ~x, orientation = 'horizontal', title = 'addSizeLegend', position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLegendNumeric(pal = numericPal, values = ~y, title = 'addLegendNumeric', orientation = 'horizontal', fillOpacity = .7, width = 150, height = 20, position = 'bottomright', group = 'Symbols', data = symbolMarkers) |> addLayersControl(overlayGroups = c('Polygons', 'Awesome Icons', 'Symbols'), position = 'topleft', options = layersControlOptions(collapsed = FALSE))"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":null,"dir":"Reference","previous_headings":"","what":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"Add legend sizing symbols width lines","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"addLegendSize( map, pal, values, title = NULL, labelStyle = \"\", shape = \"rect\", orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 20, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", stacked = FALSE, data = leaflet::getMapData(map), ... ) addLegendLine( map, pal, values, title = NULL, labelStyle = \"\", orientation = c(\"vertical\", \"horizontal\"), width = 20, color, opacity = 1, fillOpacity = opacity, breaks = 5, baseSize = 10, numberFormat = function(x) { prettyNum(x, big.mark = \",\", scientific = FALSE, digits = 1) }, group = NULL, className = \"info legend leaflet-control\", data = leaflet::getMapData(map), ... ) addLegendSymbol( map, pal, values, title = NULL, labelStyle = \"\", shape, orientation = c(\"vertical\", \"horizontal\"), color, fillColor = color, strokeWidth = 1, opacity = 1, fillOpacity = opacity, width = 20, height = width, group = NULL, className = \"info legend leaflet-control\", dashArray = NULL, data = leaflet::getMapData(map), ... )"},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"map map widget object created 'leaflet' pal color palette function, generated colorNumeric values values used generate sizes colorValues specified pal given, values used generate colors palette function title legend title, pass HTML style labelStyle character string style argument HTML text shape desired shape symbol, See availableShapes orientation stack legend items vertically horizontally color color legend symbols, omitted pal used fillColor fill color symbol strokeWidth width symbol outline opacity opacity legend items fillOpacity fill opacity legend items breaks integer specifying number breaks numeric vector breaks baseSize re-scaling size pixels mean values, average value exact size numberFormat formatting functions numbers displayed e.g. format, prettyNum group group name leaflet layer group className extra CSS class append control, space separated stacked TRUE, symbols overlayed onto compact size legend data data object. Currently supported objects matrices, data frames, spatial objects sp package (SpatialPoints, SpatialPointsDataFrame, Polygon, Polygons, SpatialPolygons, SpatialPolygonsDataFrame, Line, Lines, SpatialLines, SpatialLinesDataFrame), spatial data frames sf package. ... arguments pass addControl addLegendSize pretty sizeBreaks makeSymbol makeSymbolsSize width width pixels lines height pixels dashArray string vector/list strings defines stroke dash pattern","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"object addControl","code":""},{"path":"https://leaflegend.roh.engineering/reference/legendSymbols.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add a legend for the sizing of symbols or the width of lines — legendSymbols","text":"","code":"library(leaflet) data(\"quakes\") quakes <- quakes[1:100,] numPal <- colorNumeric('viridis', quakes$depth) sizes <- sizeNumeric(quakes$depth, baseSize = 10) symbols <- Map( makeSymbol, shape = 'triangle', color = numPal(quakes$depth), width = sizes, height = sizes ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = icons(iconUrl = symbols), lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n \\n 600<\\/span>\\n<\\/div>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # a wrapper for making icons is provided sizeSymbols <- makeSymbolsSize( quakes$depth, shape = 'cross', fillColor = numPal(quakes$depth), color = 'black', strokeWidth = 1, opacity = .8, fillOpacity = .5, baseSize = 20 ) leaflet() %>% addTiles() %>% addMarkers(data = quakes, icon = sizeSymbols, lat = ~lat, lng = ~long) %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', shape = 'cross', orientation = 'horizontal', strokeWidth = 1, opacity = .8, fillOpacity = .5, color = 'black', baseSize = 20, breaks = 5) 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Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/span>\\n\\n \\n 200<\\/span>\\n<\\/span>\\n\\n \\n 300<\\/span>\\n<\\/span>\\n\\n \\n 400<\\/span>\\n<\\/span>\\n\\n \\n 500<\\/span>\\n<\\/span>\\n\\n \\n 600<\\/span>\\n<\\/span>\",\"topleft\",null,\"info legend leaflet-control\"]}],\"limits\":{\"lat\":[-37.37,-10.98],\"lng\":[165.96,187.81]}},\"evals\":[],\"jsHooks\":[]} # Group layers control leaflet() %>% addTiles() %>% addLegendSize( values = quakes$depth, pal = numPal, title = 'Depth', labelStyle = 'margin: auto;', shape = c('triangle'), orientation = c('vertical', 'horizontal'), opacity = .7, breaks = 5, group = 'Depth') %>% addLayersControl(overlayGroups = c('Depth')) {\"x\":{\"options\":{\"crs\":{\"crsClass\":\"L.CRS.EPSG3857\",\"code\":null,\"proj4def\":null,\"projectedBounds\":null,\"options\":{}}},\"calls\":[{\"method\":\"addTiles\",\"args\":[\"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png\",null,null,{\"minZoom\":0,\"maxZoom\":18,\"tileSize\":256,\"subdomains\":\"abc\",\"errorTileUrl\":\"\",\"tms\":false,\"noWrap\":false,\"zoomOffset\":0,\"zoomReverse\":false,\"opacity\":1,\"zIndex\":1,\"detectRetina\":false,\"attribution\":\"© OpenStreetMap<\\/a>, ODbL<\\/a>\"}]},{\"method\":\"addControl\",\"args\":[\"\\n Depth<\\/strong>\\n<\\/div>\\n\\n \\n 100<\\/span>\\n<\\/div>\\n\\n \\n 200<\\/span>\\n<\\/div>\\n\\n \\n 300<\\/span>\\n<\\/div>\\n\\n \\n 400<\\/span>\\n<\\/div>\\n\\n \\n 500<\\/span>\\n<\\/div>\\n\\n
600<\\/p>\\n
100<\\/p>\\n<\\/div>\",\"topright\",null,\"info legend leaflet-control leaflegend-group-NumericData\"]},{\"method\":\"addControl\",\"args\":[\"