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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "countryatlas" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'countryatlas: Join World Bank Data, Country Codes and Maps on the ISO Spine'
version: 2.0.0
doi: 10.32614/CRAN.package.countryatlas
abstract: 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, globe and interactive), and can hand its curated, ISO-reconciled
  tables to 'ggsql' for database-side spatial rendering. Heavy spatial dependencies
  stay optional, and a bundled offline snapshot lets every example, test and vignette
  run without the network.
authors:
- family-names: Yu
  given-names: Youzhi
  email: yuyouzhi666@icloud.com
repository: https://pursuitofdatascience.r-universe.dev
repository-code: https://github.com/PursuitOfDataScience/countryatlas
commit: a6a3281f28c2f581b61e33ed2402ae137a56bca8
url: https://pursuitofdatascience.github.io/countryatlas/
date-released: '2026-06-24'
contact:
- family-names: Yu
  given-names: Youzhi
  email: yuyouzhi666@icloud.com