Join World Bank Data, Country Codes and Maps on the ISO Spine R package countryatlas version 1.0.0 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. Software Depends: R (>= 4.1.0) Imports: cli, countrycode, dplyr, ggplot2, memoise, rlang, tibble, tidyr, WDI Suggests: biscale, cartogram, classInt, covr, gganimate, geofacet, ggiraph, ggrepel, knitr, leaflet, maps, plotly, rmapshaper, rmarkdown, rnaturalearth, rnaturalearthdata, scales, sf, stringdist, testthat (>= 3.0.0) Youzhi Yu <yuyouzhi666@icloud.com> Comprehensive R Archive Network (CRAN) Youzhi Yu [aut, cre] GPL (>= 3) 2026-06-24 application/tgz https://CRAN.R-project.org/package=countryatlas doi:10.32614/CRAN.package.countryatlas