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Multi panel plot
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library(sp) | |
library(rgeos) | |
library(rworldmap) | |
# epsg.io | |
wgs=CRS("+init=epsg:4326") | |
map_dat=getMap() | |
map_dat=spTransform(map_dat,wgs) | |
# fake data | |
set.seed(123) | |
foo.dat=data.frame(long=runif(150,-100,180), | |
lat=runif(150,-90,100), | |
val=rnorm(150,200,150)) | |
foo.dat.shp=SpatialPointsDataFrame(foo.dat[,c("long","lat")], | |
data=foo.dat, | |
proj4string = wgs) | |
par(oma=c(0.5,0.5,0.5,0.5),mar=c(2,2,0.5,0.5)) | |
layout(matrix(1:2,1,2),widths=c(1,0.5)) | |
plot(map_dat,xlim=c(-180,180),ylim=c(-90,90),bg="lightblue",col="cornsilk",yaxs="i",xaxs="i") | |
plot(foo.dat.shp,add=T,pch=21,bg="red") | |
box(lwd=1) | |
# aggregate data into Latitude bins | |
bks.val=seq(-90,90,20) | |
lat.bin=findInterval(foo.dat$lat,bks.val) | |
foo.dat$lat.bin=bks.val[lat.bin] | |
mean.val=aggregate(val~lat.bin,foo.dat,mean) | |
#pseudo histogram | |
x=barplot(mean.val$val,horiz = T,space=0,xlim=c(0,400)) | |
axis(2,x,bks.val,las=2) | |
box(lwd=1) |
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