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ggplotMAP.R
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ggplotMAP.R
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library("ggplot2")
library("ggmap")
library("rgdal")
library("sp")
library("plyr")
library("scales")
#### 0.) Daten einlesen #####
#load("/KISSLASPFAD/daten_fuer_kissla.Rdata")
#### 1.) Daten vorbereiten ####
LOR4regLONGLAT <- spTransform(LOR4reg,CRS("+proj=longlat")) #+ellps=WGS84 +datum=WGS84 +no_defs"))
LOR4reg.fort <- fortify(LOR4regLONGLAT, region="RAUMID_NAME")
LOR4regdf <- LOR4reg@data
colnames(LOR4regdf)[2] <- "id"
LOR4reg.fort <- join(LOR4reg.fort, LOR4regdf, by="id")
BZKLONGLAT <- spTransform(BZK,CRS("+proj=longlat"))
BZK.fort <- fortify(BZKLONGLAT, region="BezName")
BZKdf <- BZK@data
colnames(BZKdf)[2] <- "id"
BZK.fort <- join(BZK.fort, BZKdf, by="id")
S_BahnLONGLAT <- spTransform(S_Bahn,CRS("+proj=longlat"))
S_Bahn.fort <- fortify(S_BahnLONGLAT)
S_Bahndf <- S_Bahn@data
#colnames(S_Bahndf)[2] <- "id"
S_Bahn.fort <- join(S_Bahn.fort, S_Bahndf)#, by="id")
ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) + geom_polygon(aes(fill=Mietechgr, group=id)) + geom_path(data=S_Bahn.fort, aes(x=long, y=lat))
#### 2.) GGPLOT
LOR4reg.fort$Gentri <- factor(LOR4reg.fort$Gentri,levels(LOR4reg.fort$Gentri)[c(2,3,1)])
LOR4reg.fort$GentriA <- factor(LOR4reg.fort$GentriA,levels(LOR4reg.fort$GentriA)[c(2,3,1)])
kartenlayout <- list(geom_polygon(aes(group=id),data=BZK.fort, fill=NA, colour="grey50", alpha=0.8,size=1.2),
theme(legend.position =c(0.9,0.8),
line = element_blank(),
rect= element_blank(),
axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
legend.title=element_text(size=rel(1.4), face="bold"),
legend.text=element_text(size=rel(1))),
guides(fill = guide_colourbar(barheight=7)),
geom_path(data=S_Bahn.fort, aes(x=long, y=lat), linetype=2, size=1))
kartenlayoutCAT <- list(geom_polygon(aes(group=id),data=BZK.fort, fill=NA, colour="grey50", alpha=0.8, size=1.2),
theme(legend.position =c(0.9,0.8),
line = element_blank(),
rect= element_blank(),
axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
legend.title=element_text(size=rel(1.4), face="bold"),
legend.text=element_text(size=rel(1)),
legend.background = element_rect()),
geom_path(data=S_Bahn.fort, aes(x=long, y=lat), linetype=2, size=1))
kartenlayoutCATo <- list(geom_polygon(aes(group=id),data=BZK.fort, fill=NA, colour="grey50", alpha=0.8, size=0.5),
theme(legend.position ='none',
line = element_blank(),
rect= element_blank(),
axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
legend.title=element_text(size=rel(0.8), face="bold"),
legend.text=element_text(size=rel(0.6)),
legend.background = element_rect()),
geom_path(data=S_Bahn.fort, aes(x=long, y=lat), linetype=2, size=0.6))
lowCOLOR <- "blue"
midCOLOR <- "#fee0d2"
hiCOLOR <- "red"
superhiCOLOR <- "black"
MietechgrMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Mietechgr, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradient2(low = lowCOLOR, mid = midCOLOR, high =hiCOLOR,midpoint = 0,
name=expression(paste(Delta[r],'Miete (%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
MietechgrMAP
ArmutchgMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Armutchg, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradient2(low = lowCOLOR, mid = midCOLOR, high =hiCOLOR,midpoint = 0,
name=expression(paste(Delta,'Armut (%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
ArmutchgMAP
GentriMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Gentri, group=id)) + geom_path(color="grey20", alpha=1, size=0.3) +
scale_fill_discrete(name=expression(paste('Kategorie'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayoutCATo
GentriMAP
ArmutchgMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Armutchg, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradient2(low = lowCOLOR, mid = midCOLOR, high =hiCOLOR,midpoint = 0,
name=expression(paste(Delta,'Armut (%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
ArmutchgMAP
Armut.2007MAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Armut.2007, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR),
values = rescale(c(1,20,55)),
guide = "colorbar", limits=c(1,55),
name=expression(paste('Armut'[2007],' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
Armut.2007MAP
Armut.2012MAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Armut.2012, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR),
values = rescale(c(1,20,55)),
guide = "colorbar", limits=c(1,55),
name=expression(paste('Armut'[2012],' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
Armut.2012MAP
Miete.2007MAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Miete.2007, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR),
values = rescale(c(4,7,14)),
guide = "colorbar", limits=c(4,14),
name=expression(paste('Miete'[2007],' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
Miete.2007MAP
Miete.2012MAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Miete.2012, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR),
values = rescale(c(4,7,14)),
guide = "colorbar", limits=c(4,14),
name=expression(paste('Miete'[2012],' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
Miete.2012MAP
Miete.2012MAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=Miete.2012, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR),
values = rescale(c(4,7,14)),
guide = "colorbar", limits=c(4,14),
name=expression(paste('Miete'[2012],' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
Miete.2012MAP
FortzuegeRMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=FortzuegeR, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR,superhiCOLOR),
values = rescale(c(3.9,12,15,25)),
guide = "colorbar", limits=c(3.4,25),
name=expression(paste('Fortzüge',' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
FortzuegeRMAP
ZuzuegeRMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=ZuzuegeR, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR,superhiCOLOR),
values = rescale(c(3.8,7,13,22)),
guide = "colorbar", limits=c(3.8,22),
name=expression(paste('Zuzüge',' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
ZuzuegeRMAP
FortzuegeUDARMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=FortzuegeUDAR, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR,superhiCOLOR),
values = rescale(c(0,4,8,26.5)),
guide = "colorbar", limits=c(0,26.5),
name=expression(paste('FortzügeA',' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
FortzuegeUDARMAP
ZuzuegeUDARAMAP <- ggplot(LOR4reg.fort, aes(x=long, y=lat, group = id)) +
geom_polygon(aes(fill=ZuzuegeUDAR, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradientn(colours = c(lowCOLOR,midCOLOR,hiCOLOR,superhiCOLOR),
values = rescale(c(0,3,8,30)),
#guide = "colorbar", limits=c(3.8,22),
name=expression(paste('ZuzügeA',' ','(%)'))) +
coord_map("polyconic",xlim = c(13.08,13.77),ylim = c(52.33,52.69)) + kartenlayout
ZuzuegeUDARAMAP
#### 3.) Jetzt gehts endlich um GGMAP. Als erstes muss man da ne Karte holen mit get_map.
# Das funktioniert auch:
bbox <- c(min(LOR4reg.fort$long),min(LOR4reg.fort$lat),max(LOR4reg.fort$long),max(LOR4reg.fort$lat))
BerlinGMAP <- get_map(location = bbox,
maptype = "terrain",
source = c("osm"),
filename = "BerlinGMAP",
color= c("color"))
BerlinGMAP <- get_map(location = bbox,
maptype = "roadmap",
source = c("google"),
filename = "BerlinGMAP",
color= c("color"))
BerlinGMAP <- get_map(location = bbox,
maptype = "toner-background",
source = c("stamen"),
filename = "BerlinGMAP",
color= c("color"),
zoom=11)
BerlinGMAP <- get_map(location = bbox,
maptype = "toner",
source = c("stamen"),
filename = "BerlinGMAP",
color= c("color"),
zoom=11)
# Karte passt eigentlich
ggmap(BerlinGMAP)
# so jetzt machen wir die ggmaps. Sieht aber alles noch nich so fein aus.
# Im prinzip müssen wir das jetzt optimieren...ich weiss noch nicht welche source wir nehmen sollen (gmap, osm oder stamen) und auch nicht wie man
# die plots dann am schönsten macht...das könnten wir zusammen in einer nerdsession optimieren.
ggmap(ggmap = BerlinGMAP, extend="device") + geom_polygon(data=LOR4reg.fort, aes(x=long, y=lat,fill=Armutchg, group=id), alpha=0.6, size=0.2)
ggmap(ggmap = BerlinGMAP, darken=0.6, legend = 'topright') + geom_polygon(data=LOR4reg.fort, aes(x=long, y=lat,fill=Armutchg, group=id),
alpha=0.6, color="grey") +
scale_fill_gradientn(limits = c(min(LOR4reg.fort$Armutchg),
max(LOR4reg.fort$Armutchg)),
colours=c("blue","white","red"),
breaks=breaks)
ggmap(ggmap = BerlinGMAP, darken=0.6, legend = 'topright') +
stat_density2d(aes(x = long, y = lat, fill = Armutchg), data = LOR4reg.fort, bins = 10,geom = "density2d")
ggmap(ggmap = BerlinGMAP, darken=0.6, legend = 'topright') + geom_polygon(data=LOR4reg.fort, aes(x=long, y=lat,fill=Armutchg, group=id), alpha=0.6, color="transparent") +
# scale_fill_gradientn(limits = c(min(LOR4reg.fort$Armutchg), max(LOR4reg.fort$Armutchg)), colours=c("blue","white","red"), breaks=breaks)
stat_density2d(aes(x = long, y = lat, fill = ..level.., alpha = ..level..),
size = 0.5, bins = 20, data = LOR4reg.fort, geom = "polygon", contour=T) +
scale_alpha(range = c(.4, .75), guide = FALSE) +
guides(fill = guide_colorbar(barwidth = 1.5, barheight = 10)) +
scale_fill_gradient('Armutsänderung')
################################
################################
# Versuche LABELS in die Bezirke zu bekommen
p <- ggplot() + geom_text(data=test, aes(x=x, y=y, label=BEZ_NAME))
+ geom_polygon(LOR4reg.fort, aes(x=long, y=lat, group = id))
geom_polygon(aes(fill=Mietechgr, group=id)) + geom_path(color="grey", alpha=0.0, size=0.5) +
scale_fill_gradient2(low = "#0570b0", mid = "#fee0d2", high ="#e31a1c",midpoint = 0) +
geom_polygon(aes(group=id),data=BZK.fort, fill=NA, colour="grey50", alpha=0.8) +
theme(legend.position =c(0.9,0.8),
line = element_blank(),
rect= element_blank(),
axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank()) +
coord_map("polyconic") +
guides(fill = guide_colourbar(barheight=6)) +
geom_path(data=S_Bahn.fort, aes(x=long, y=lat), linetype=2, size=0.7)
p + geom_text(data=test, aes(label = BEZ_NAME, x = x, y = y),
hjust=0.5, vjust=-0.5, colour="gold2", size=4)
setwd("/home/dao/Desktop/MasterArbeit/GentriMap/4 Geodaten")
BZK1 <- readOGR(dsn="Bezirke_GS/", layer="RBS_OD_BEZ_1412")
BZK1@proj4string
BZK <- spTransform(BZK1, zielCRS)
BZKLONGLAT_pt <- gCentroid(BZKLONGLAT,byid=TRUE); plot(BZKLONGLAT_pt)
BZKLONGLAT_ptdf <- SpatialPointsDataFrame(coords = BZKLONGLAT_pt,
data = BZKLONGLAT@data)
test <- data.frame(BZKLONGLAT_pt@coords,BZKLONGLAT_ptdf@data$BezName)
names(test)[3] <- "BEZ_NAME"
ggplot() + geom_text(data=test, aes(x=x, y=y, label=BEZ_NAME), color="red")