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countryatlas
View on CRAN: Click
here
Download and install countryatlas package within the R console
Install from CRAN:
install.packages("countryatlas")
Install from Github:
library("remotes")
install_github("cran/countryatlas") Install by package version:
library("remotes")
install_version("countryatlas", "1.0.0") Attach the package and use:
library("countryatlas")
Maintained by
Youzhi Yu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
Description:
A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key. It generalises a one-call, map-ready table that stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators and the 'countrycode' Rosetta stone; exposes the join machinery for the user's own data; ships curated reference data (metadata, group memberships, an indicator catalogue, flags and currencies); adds analysis helpers (per-capita, regional roll-ups, ranking); and turns one hand-drawn choropleth into a full vocabulary of projected, area-honest maps (binned and quantile choropleths, proportional-symbol, bivariate, cartogram, tile-grid, flow, animated and interactive). Heavy spatial dependencies stay optional, and a bundled offline snapshot lets every example, test and vignette run without the network.
How to cite:
Youzhi Yu (2026). countryatlas: Join World Bank Data, Country Codes and Maps on the ISO Spine. R package version 1.0.0, https://cran.r-project.org/web/packages/countryatlas. Accessed 12 Sep. 2026.
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