A first go at creating an atlas of admin boundaries for all African countries using GADM data (probably most easily accessible admin boundary data but not most up-to-date).
#initial creation of this file #usethis::use_vignette("afriadmin-atlas") knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(afriadmin)
#data("afcountries") #TEST to avoid error in gzfile readRDS I'm getting #afcountries <- afcountrynames(nameoriso3c = 'both', filtercountries='gadm2') #Somalia SOM seems to have level2 but not level 0 or 1 #leave it out for now afcountries <- afcountries[(!afcountries$iso3c %in% c('SOM')),] #I could add other countries in grey to give context #even hires naturalearth still shows reasaonable differences from gadm #sf_ne_africa <- rnaturalearth::ne_countries(scale = 'large', type = "countries", continent = 'africa', returnclass='sf') #an all africa adm0 object from gadm saved to the package (will need to ask permission) #data(sf_af_gadm0) for(countrynum in 1:nrow(afcountries)) { name <- afcountries$name[countrynum] iso3c <- afcountries$iso3c[countrynum] maxlevel <- maxadmin(iso3c, datasource='gadm') #cat(name," ",iso3c," levels=",maxlevel,"\n") afplotadmin(country=name, datasource='gadm') }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.