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<!-- README.md is generated from README.Rmd. Please edit that file -->rgeoboundaries <img src="man/figures/hex-rgeoboundaries.png" align="right" height="139" />
<!-- badges: start -->rgeoboundaries
is an R client for the geoBoundaries
API, providing country political
administrative boundaries.
Installation
You can install the development version of rgeoboundaries using the
remotes
package:
# install.packages("remotes")
remotes::install_github("wmgeolab/rgeoboundaries")
Access administrative boundaries using rgeoboundaries
This is a basic example which shows you how get Mali and Senegal boundaries and plot it
library(rgeoboundaries)
library(sf)
mli_sen <- gb_adm0(c("mali", "senegal"), type = "sscgs")
plot(st_geometry(mli_sen))
<img src="man/figures/README-plot-1.svg" width="100%" />
We can also get the first administrative division of all countries in the world and use ISO3 code too
egy <- gb_adm1("EGY")
plot(st_geometry(egy),
col = rgb(red = 1, green = 0, blue = 0, alpha = 0.5),
axes = TRUE, graticule = TRUE)
<img src="man/figures/README-plot_egy-1.svg" width="100%" />
In order to access the global administrative zones, you just need to
skip the country argument (i.e set it to NULL
) or specify type = "CGAZ"
.
world <- gb_adm1()
world_lambert <- st_transform(world, "+proj=laea +x_0=0 +y_0=0 +lon_0=0 +lat_0=0")
par(bty = "n")
plot(st_geometry(world_lambert),
col = "#E39d57",
graticule = TRUE, lwd = 0.3)
<img src="man/figures/README-plot_world-1.svg" width="100%" />
Finally, metadata for each country and administrative level are also available.
knitr::kable(gb_metadata(c("mali", "senegal"), "adm1"))
How to to cite
If you are using this package in your analysis, please cite the original
geoBoundaries
work:
Runfola D, Anderson A, Baier H, Crittenden M, Dowker E, Fuhrig S, et al. (2020) geoBoundaries: A global database of political administrative boundaries. PLoS ONE 15(4): e0231866. https://doi.org/10.1371/journal.pone.0231866