diff --git a/content/Modul_1/en_qgis_installation.md b/content/Modul_1/en_qgis_installation.md index 57891668..8cdbf5c3 100644 --- a/content/Modul_1/en_qgis_installation.md +++ b/content/Modul_1/en_qgis_installation.md @@ -4,7 +4,7 @@ __🔙[Back to Homepage](/content/intro.md)__ In this chapter, we will prepare the setup for the training. This includes installing QGIS, setting up a folder structure for all the data in the training, and how to manage the downloaded material. The first step will be to install QGIS. After that, we will set up a folder structure for the training, as well as go over a few steps to keep your data management clean. -## Quick guide QGIS 3.28 - installation and basic setup +## Quick guide QGIS 3.34.12 - installation and basic setup [![QGIS 3.28 - installation and basic setup](/fig/image_QGIS_3.28_download.png)](https://www.youtube.com/watch?v=tSJMT96HsAo) diff --git a/content/Modul_4/en_qgis_map_design_I.md b/content/Modul_4/en_qgis_map_design_I.md index 10f41716..14924406 100644 --- a/content/Modul_4/en_qgis_map_design_I.md +++ b/content/Modul_4/en_qgis_map_design_I.md @@ -73,28 +73,122 @@ Visual perception varies from one person to the next according to various capabi - Transcultural (green = nature, blue = water) ``` -## Choropleth and Graduated Symbol Maps +## Using visual variables in cartography -Based on these visual variables, cartographers are able to interpret and communicate information crucial to -humanitarian operations. Choropleth and Graduated symbol maps are two common thematic map types used in humanitarian -work. +Based on these visual variables, cartographers are able to interpret and communicate +information crucial to humanitarian operations. Depending on the use case and the intended audience, you will use different stylings to communicate different data. +OpenStreetMap offers several map products: OSM Standard, Tracestack Topo, CyclOSM or the public transportation map, for example. The data behind the maps +is the same, but the styling is different. In each case, the cartographers had different goals in mind (e.g., for +the cycling map, show the safest biking routes, bike repair stations and resting places) and chose the styling accordingly. +::::{grid} 2 -### __Choropleth Maps__ -^^^ +:::{grid-item} +```{figure} /fig/m4_OSM_Overviewmap_example.png +--- +name: OSM_topo +width: 375 px +--- +[OSM](https://www.openstreetmap.org) Standard +``` +::: -A choropleth map is a type of map that shows data using colors or shading within specific geographic areas, like -countries, states, or counties. It helps to visualize data patterns or distributions across regions. For example, a -choropleth map could show population density, where darker shades indicate higher densities and lighter shades indicate -lower densities. +:::{grid-item} +```{figure} /fig/m4_OSM_bikemap.png +--- +name: OSM_Radfahrerkarte +width: 375 px +--- +OSM Cycling Map +``` + +::: +:::: + +In the following dropdowns, you will +find different examples of maps used in humanitarian work. + +:::{admonition} Now it's your turn! +:class: tip + +What type of symbolisation methods can you identify in these maps? What kind of information has been communicated in which way (e.g. information about infrastructure, natural landscapes, etc.) +What other methods to communicate information can you imagine or do you know? You can also show a map you encountered in your work or personal life. + +You can also use maps from you encountered in your work or daily life. + +:::: + +::::{dropdown} __Map Example 1__ + +```{figure} /fig/ET_Somali_Humanitarian_Access_Flooded_Areas_11152023_A4.png +--- +name: map_example_ethiopia +width: 750 px +--- +Flood affected areas and roads in the Somali Region, Ethiopia (Source: OCHA) +``` + +:::: + +::::{dropdown} __Map Example 2__ + +```{figure} /fig/proportional_circles_example.png +--- +name: prop_circles_example +width: 500 px +--- +Internally Displaced Persons (IDPs), 30 September 2024 (Soure: [UNHCR](https://reliefweb.int/map/sudan/regional-bureau-east-horn-africa-and-great-lakes-region-internally-displaced-persons-idps-30-september-2024)). +``` + +:::: + +::::{dropdown} __Map Example 3__ + +```{figure} /fig/choropleth_hum_example.png +--- +name: hum_sit_monitoring_choro_example +width: 700 px +--- +South Sudan: Humanitarian Situation Monitoring, April-May 2024 - Damaged shelters (Source: [REACH](https://repository.impact-initiatives.org/document/impact/897badb8/REACH_SSD_Map_HSM_AprilMay2024_DamagedShelters_June2024-1.pdf)) +``` + +:::: + + +::::{dropdown} __Map Example 4__ + +```{figure} /fig/en_m4_operational_overview_example.png +--- +name: operational_overview_example +width: 650 px +--- +Operational overview or response activity map (Source: [Shelter Cluster Vanuata](https://reliefweb.int/map/vanuatu/vanuatu-tropical-cyclone-lola-distribution-and-gap-map-malampa-13022024)) +``` + +:::: + + + +### Choropleth & Graduated Symbol Maps + +Choropleth and Graduated symbol maps are two common thematic map types used in humanitarian +work. In essence: -- Data is divided into areas on the map. -- Colors or shades represent different values for each area. -- Easy to interpret – darker or more intense colors often mean higher values, and lighter colors mean lower values. -Choropleth maps are ideal for showing patterns over large areas but should be used carefully, as they don’t show exact +- Data is divided into areas on the map. +- __Choropleth maps__ are maps that show data using colors or shading within specific geographic areas, like +countries, states, or counties. It helps to visualize data patterns or distributions across regions. For example, a +choropleth map could show population density, where darker shades indicate higher densities and lighter shades indicate +lower densities. +- __Graduated Symbol maps__ use circles or other symbols of varying sizes to represent data values across +different locations. The larger the circle, the higher the data value it represents. This makes it useful for showing quantities or comparing values across different +points on a map. + - For choropleth maps, colours or shades represent different values for each area. Usually, the darker or more intense colour signifies higher values. The effectiveness of a choropleth map is dependent on the __colouring scheme__. +- Graduated symbols maps are created by changing the size of a symbol in relation to a value in the attribute table. + +Choropleth maps and graduated symbol maps are ideal for showing patterns over large areas but should be used carefully, as they don’t show exact values within each region, just an overall gradient or level of intensity and they are used in almost every application of mapping and GIS. @@ -110,29 +204,22 @@ __Use cases__: __Humanitarian Action__ -In humanitarian action, choropleth maps are used to: +In humanitarian action, choropleth maps or graduated symbol maps are used to: - Identify vulnerable regions: Maps can show areas with high poverty rates, conflict, or disaster impact, helping responders prioritize regions most in need of aid. -- Track disease outbreaks: For instance, during an epidemic, choropleth maps can show areas with high infection rates, helping to direct medical resources and prevent further spread. +- Track disease outbreaks: For instance, during an epidemic, you can show areas with high infection rates, helping to direct medical resources and prevent further spread. - Monitor food insecurity and famine risks: Maps that illustrate food scarcity help humanitarian organizations focus on regions where food aid is needed the most. -```{figure} /fig/choropleth_hum_example.png ---- -name: hum_sit_monitoring_choro_example -width: 700 px ---- -South Sudan: Humanitarian Situation Monitoring, April-May 2024 - Damaged shelters (Source: [REACH](https://repository.impact-initiatives.org/document/impact/897badb8/REACH_SSD_Map_HSM_AprilMay2024_DamagedShelters_June2024-1.pdf)) -``` __Environmental Science__ -- Show pollution levels: Choropleth maps can depict air or water quality across regions, helping to identify polluted areas. +- Show pollution levels: Depict air or water quality across regions, helping to identify polluted areas. - Track deforestation: Maps highlighting forest coverage changes make it easy to spot deforestation trends. - Climate impact: Regions prone to temperature rise or extreme weather can be highlighted to aid climate adaptation efforts. __Public Health__ -- Visualize health disparities: Choropleth maps can show regions with high rates of disease, poor access to healthcare, or varying vaccination rates. +- Visualize health disparities: Show regions with high rates of disease, poor access to healthcare, or varying vaccination rates. - Resource allocation: Health authorities use these maps to allocate medical resources based on areas with higher health needs. __Urban Planning and Infrastructure__ @@ -141,35 +228,11 @@ __Urban Planning and Infrastructure__ - Identify socioeconomic patterns: Urban planners use these maps to see income, employment, and education levels across neighborhoods. --- - + Choropleth maps are usually created by [classifying](/content/Modul_3/en_qgis_data_classification.md) geodata into -distinct groups, either using categorised or graduated classification. The effectiveness of a choropleth map is -dependent on the __colouring scheme__. - - -### __Proportional Circles/Graduated Symbols Map__ - -Another very useful type of map in humanitarian action is the proportional circle or graduated symbol map. This type of -map uses circles of varying sizes to represent data values across different locations. The larger the circle, the -higher the data value it represents. This makes it useful for showing quantities or comparing values across different -points on a map. +distinct groups, either using categorised or graduated classification. - -```{figure} /fig/proportional_circles_example.png ---- -name: prop_circles_example -width: 500 px ---- -Internally Displaced Persons (IDPs), 30 September 2024 (Soure: [UNHCR](https://reliefweb.int/map/sudan/regional-bureau-east-horn-africa-and-great-lakes-region-internally-displaced-persons-idps-30-september-2024)). -``` - -```{figure} /fig/proportional_circles_example_2.png ---- -name: prop_circles_example_2 -width: 450 px ---- -Cholera cases in Malawi (Source [Paul Knight](https://learn-sims.org/geospatial/creating-a-proportional-circle-map-in-qgis/)). -``` + # Symbology and styling @@ -191,8 +254,6 @@ has it's own styling rules. These can range from simple (e.g. display line data polygons) to more complex (e.g. differentiate between different types of roads, add complex fill-patterns to polygons, or add SVG-symbols of varying sizes to ). - - ## Symbology @@ -202,6 +263,8 @@ or add SVG-symbols of varying sizes to ). - Symbology is applied to layers, but within the same layer we can assign multiple styles to features - The symbology of a layer can be __changed based on one of the layer's attributes__. + + ## Colours @@ -252,12 +315,14 @@ Single hue gradient on the left; Multiple hue gradient on the right. ``` ```{tip} -The [Colourbrewer website](colorbrewer2.org) is a quick and useful tool to select and generate colour palettes for your use case. +The [Colourbrewer website](colorbrewer2.org) is a quick and useful tool to select and +generate colour palettes for your use case. ``` ### Colourblindness -When choosing the colours, you have to keep in mind that colour gradients (especially diverging Red-Green gradients) can be hard or impossible to distinguish for people with colour blindness. +When choosing the colours, you have to keep in mind that colour gradients (especially +diverging Red-Green gradients) can be hard or impossible to distinguish for people with colour blindness. ``` {figure} ../../fig/Colour_Blindness.png --- @@ -267,31 +332,50 @@ width: 750px Different Colour schemes for the Colour Vision Impaired; Source: Jenny, Bernhard, and Nathaniel Vaughn Kelso. (2007). Color Design for the Color Vision Impaired. *Cartographic Perspectives*, no. 58 (September 1, 2007): 61-67. https://doi.org/10.14714/CP58.270 ``` + ## Complex Maps -The different symbolisation methods discussed in this chapter can be combined in different ways to create sophisticated reports and maps. By combining several methods, you can communicate different phenomena intuitively to the reader. A classical example is a combination of a choropleth map (graduated colours) with a proportional circles map (see {numref}`bivariate_map_example_lebanon`). +The different symbolisation methods discussed in this chapter can be combined in +different ways to create sophisticated reports and maps. By combining several methods, +you can communicate different phenomena intuitively to the reader. A classical example +is a combination of a choropleth map (graduated colours) with a proportional circles map +(see {numref}`bivariate_map_example_lebanon`). +__Complex Map 1:__ ```{figure} /fig/en_complex_map_lebanon.png +--- name: bivariate_map_example_lebanon width: 550 px --- -A complex map using graduated colours and proportional circles (Source: [REACH Initiative](https://reliefweb.int/map/lebanon/lebanon-conflict-and-displacement-overview-30-september-2024)) +A complex map using graduated colours and proportional circles (Source: [REACH](https://reliefweb.int/map/lebanon/lebanon-conflict-and-displacement-overview-30-september-2024)) ``` +__Complex Map 2:__ ```{figure} /fig/en_complex_bivariate_map.png --- name: complex_bivariate_map_example -width: 750 px +width: 550 px --- -A complex map combining layer styling and different visual variables to communicate a complex situation (Source: [SIMS](https://rcrcsims.org/portfolio/view/18)) +A complex map combining layer styling and different visual variables to +communicate a complex situation (Source: [SIMS](https://rcrcsims.org/portfolio/view/18)). ``` +__Complex Map 3:__ + +```{figure} /fig/en_complex_map_example_yemen.png +--- +name: test_complex_map +width: 550 px +--- +A complex map using graduated colours to signify flood depth as well as the flood hazard for IDP sites (Source: [REACH](https://reliefweb.int/map/yemen/flood-hazard-idp-sites-marib-governorate-flood-depth-model-january-2024-production-date-07-may-2024)) +``` :::{admonition} Now it's your turn! :class: tip -{numref}`bivariate_map_example_lebanon` and {numref}`complex_bivariate_map_example` both make use of graduated colours as well as graduated symbols. What other symbolisation principles can you detect on these maps? +{numref}`bivariate_map_example_lebanon`, {numref}`complex_bivariate_map_example` and {numref}`en_complex_map_example_yemen` make use of graduated colours as well as graduated symbols. What other symbolisation principles can you detect on these maps? ::: + Now that we have learned the different visual variables, and know how to use them to create complex maps, the next chapter [Symbology for Vector data](/content/Modul_4/en_qgis_styling_vector_data.md) will explain how to set up different symbolisation and styling methods in QGIS. \ No newline at end of file diff --git a/content/Modul_4/en_qgis_map_design_I_ex1.md b/content/Modul_4/en_qgis_map_design_I_ex1.md index 55879c23..d8777f6d 100644 --- a/content/Modul_4/en_qgis_map_design_I_ex1.md +++ b/content/Modul_4/en_qgis_map_design_I_ex1.md @@ -3,14 +3,19 @@ ## Characteristics of the exercise -::::{grid} 2 -:::{grid-item-card} - -## Aim of the exercise +:::{card} +__Aim of the exercise__ +^^^ +The aim of this exercise is to create an overview map of Ghana with its subdistricts, main roads, settlements, as well +as hospitals. Such information can be of use in humanitarian work. The first part of the exercise will cover the +symbolisation of the data layers. The second part will focus on the design of the print layout. -The aim of this exercise is to create an overview map of Ghana with its subdistricts, main roads, settlements, as well as hospitals. Such information can be of use in humanitarian work. The first part of the exercise will cover the symbolisation of the data layers. The second part will focus on the design of the print layout. +::: -#### Type of trainings exercise: +::::{grid} 2 +:::{grid-item-card} +__Type of trainings exercise:__ +^^^ - This exercise can be used in online and presence training. - It can be done as a follow-along exercise or individually as a self-study. @@ -18,27 +23,28 @@ The aim of this exercise is to create an overview map of Ghana with its subdistr ::: :::{grid-item-card} +__These skills are relevant for:__ +^^^ -#### These skills are relevant for - -- visualising geographic data -- creating maps to communicate information +- Visualising geographic data +- Understanding how QGIS visualises geodata +- Creating overview maps, creating situational reports ::: :::: ::::{grid} 2 :::{grid-item-card} +__Estimated time demand for the exercise__ +^^^ -#### Estimated time demand for the exercise. - -- The exercise takes around 5 hours to complete, depending on the number of participants and trainers. +- The exercise takes around 3 hours to complete, depending on the number of participants and trainers. ::: :::{grid-item-card} - -## Relevant Wiki Articles +__Relevant Articles__ +^^^ - [Visualisation](/content/Wiki/en_qgis_visualisation_wiki.md) - [Module 4: Visualisation of Geodata](/content/Modul_4/en_qgis_map_design_I.md) diff --git a/fig/QGIS_download_LTR_version.png b/fig/QGIS_download_LTR_version.png index 85012da9..4b07042a 100644 Binary files a/fig/QGIS_download_LTR_version.png and b/fig/QGIS_download_LTR_version.png differ diff --git a/fig/en_complex_map_example_yemen.png b/fig/en_complex_map_example_yemen.png new file mode 100644 index 00000000..f2caf061 Binary files /dev/null and b/fig/en_complex_map_example_yemen.png differ diff --git a/fig/en_m4_operational_overview_example.png b/fig/en_m4_operational_overview_example.png new file mode 100644 index 00000000..6042102b Binary files /dev/null and b/fig/en_m4_operational_overview_example.png differ diff --git a/fig/m4_OSM_Overviewmap_example.png b/fig/m4_OSM_Overviewmap_example.png new file mode 100644 index 00000000..0c9043a6 Binary files /dev/null and b/fig/m4_OSM_Overviewmap_example.png differ diff --git a/fig/m4_OSM_bikemap.png b/fig/m4_OSM_bikemap.png new file mode 100644 index 00000000..243ef484 Binary files /dev/null and b/fig/m4_OSM_bikemap.png differ