The cartography
package is a great alternative to make
maps with R. This post explains how to build a basic
choropleth map using it, with
explanation and reproducible code.
The cartography
package is a very good alternative to
the other tools presented in the
gallery for building maps.
It notably allows to:
# Use the cartography library to do the choropleth map
library(cartography)
# Load data
data(nuts2006)
# Build a choropleth
choroLayer(spdf = nuts2.spdf, df = nuts2.df, var = "pop2008" , legend.pos = "right")
title("Population in 2008")
The cartography
package is a very good alternative to
the other tools presented in the
gallery for building maps.
It notably allows to:
# Download the shape file from the web and unzip it:
# download.file("http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip" , destfile="world_shape_file.zip")
# system("unzip world_shape_file.zip")
# Load it as a geospatial object in R
library(rgdal)
my_spdf <- readOGR( dsn= "/Users/yan.holtz/Desktop/R-graph-gallery/world_shape_file/" , layer="TM_WORLD_BORDERS_SIMPL-0.3", verbose=FALSE)
africa <- my_spdf[my_spdf@data$REGION==2 , ]
africa@data$POP2005 <- as.numeric(africa@data$POP2005)
# Use the cartography library to do the choropleth map
library(cartography)
choroLayer(spdf = africa, df = africa@data, var = "POP2005")
title("Number of people living in Africa in 2005")