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This vignette shows how rnaturalearth allows mapping countries using different definitions of what a country is. What a country is can be more complicated than you might expect.
For example, from my own parochial perspective, it allows mapping the UK as a whole or separating out England, Scotland, Wales and Northern Ireland. It also allows you to exclude far away places like the Falkland Islands, or not. Mapping France it allows the inclusion or exclusion of French Guiana and islands in the South Pacific.
rnaturalearth is an R package to hold and facilitate interaction with natural earth vector map data.
Natural Earth is a public domain map dataset including vector country boundaries.
This vignette uses plot
as a simple, quick way to plot the data obtained using rnaturalearth
. rnaturalearth
data can also be used to make more elaborate maps with ggplot2
, tmap
and other options.
library(rnaturalearth)
Natural Earth data are classified by countries
, map_units
and sovereignty
. Below you will see that specifying united kingdom
for
countries
gives the UK undividedmap_units
gives England, Scotland, Wales and Northern Irelandsovereignty
includes the Falkland IslandsFiltering by geounit
can give finer control, e.g. to plot Scotland alone, or France without French Guiana.
# countries, UK undivided
plot(ne_countries(country = "united kingdom", type = "countries")["geometry"])
# map_units, UK divided into England, Scotland, Wales and Northern Ireland
plot(ne_countries(country = "united kingdom", type = "map_units")["geometry"])
# map_units, select by geounit to plot Scotland alone
plot(ne_countries(geounit = "scotland", type = "map_units")["geometry"])
# sovereignty, Falkland Islands included in UK
plot(ne_countries(country = "united kingdom", type = "sovereignty")["geometry"], col = "red")
plot(ne_coastline(scale = 110)["geometry"], lty = 3, add = TRUE)
# France, country includes French Guiana
plot(ne_countries(country = "france")["geometry"])
# France map_units includes French Guiana too
plot(ne_countries(country = "france", type = "map_units")["geometry"])
# France filter map_units by geounit to exclude French Guiana
plot(ne_countries(geounit = "france", type = "map_units")["geometry"])
# France sovereignty includes South Pacicic islands
plot(ne_countries(country = "france", type = "sovereignty")["geometry"], col = "red")
plot(ne_coastline(scale = 110)["geometry"], lty = 3, add = TRUE)
The different definitions of a country outlined above are available at different scales.
plot(
ne_countries(country = "united kingdom", scale = "large")["geometry"],
main = "large scale"
)
# countries, medium scale
plot(
ne_countries(country = "united kingdom", scale = "medium")["geometry"],
main = "medium scale"
)
# countries, small scale
plot(
ne_countries(country = "united kingdom", scale = "small")["geometry"],
main = "small scale"
)
# states country='united kingdom'
plot(ne_states(country = "united kingdom")["geometry"])
# states geounit='england'
plot(ne_states(geounit = "england")["geometry"])
# states country='france'
plot(ne_states(country = "france")["geometry"])
# states geounit='france'
plot(ne_states(geounit = "france")["geometry"])
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.