Package: countryatlas
Type: Package
Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Version: 4.0.0
Authors@R: 
    person(given = "Youzhi",
           family = "Yu",
           role = c("aut", "cre"),
           email = "yuyouzhi666@icloud.com")
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, and
        matches names in many languages. It joins indicators from the
        World Bank, Our World in Data, the European Union's statistical
        office and any statistical data and metadata exchange service
        to bundled Natural Earth borders and the 'countrycode' Rosetta
        stone, recording each value's source, unit and release, and can
        pin a World Bank release so a result reproduces; treats
        country-year panels as first class, with dated income groups,
        regions and group memberships, lags keyed on the year and
        aggregates that report their coverage; adds analysis helpers
        (per-capita, inequality, convergence, distribution dynamics,
        rates, and spatial statistics with multiple-testing control);
        and draws a full vocabulary of equal-area maps (classed and
        continuous choropleths, proportional-symbol, spike, bivariate,
        ternary, value-by-alpha, cartogram, tile-grid, flow,
        small-multiple, animated, globe and interactive), and can hand
        its curated tables to 'ggsql' for database-side rendering.
        Honesty is treated as a feature rather than a slogan: maps
        state their coverage and source, draw small states rather than
        dropping them and describe themselves in alt text,
        classification methods can be compared side by side, and the
        distortion each projection introduces can be measured and
        drawn. Heavy spatial dependencies stay optional, and a bundled
        offline snapshot lets every example, test and vignette run
        without the network.
License: GPL (>= 3)
URL: https://pursuitofdatascience.github.io/countryatlas/,
        https://github.com/PursuitOfDataScience/countryatlas
BugReports: https://github.com/PursuitOfDataScience/countryatlas/issues
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: cachem, cli, countrycode, curl, dplyr, ggplot2, grDevices,
        jsonlite, lifecycle, memoise, parallel, rlang, stats, tibble,
        tidyr, tools, utils, WDI
Suggests: biscale, cartogram, cartogramR, classInt, colorspace,
        comtradr, covr, cshapes, DBI, duckdb, eurostat, gganimate,
        ggiraph, ggpattern, ggrepel, ggsql, gifski, giscoR, gt, knitr,
        leaflet, magick, mapgl, mapproj, maps, nanoarrow, plotly,
        regions, rmapshaper, rmarkdown, rnaturalearth,
        rnaturalearthdata, scales, sf, spdep, stringdist, testthat (>=
        3.2.0), tmap, units, vdiffr, withr
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/pak/sysreqs: libicu-dev libssl-dev
Repository: https://pursuitofdatascience.r-universe.dev
Date/Publication: 2026-10-03 01:10:26 UTC
RemoteUrl: https://github.com/pursuitofdatascience/countryatlas
RemoteRef: HEAD
RemoteSha: ae13a0232c06719083710ad018c6da36458848dd
NeedsCompilation: no
Packaged: 2026-10-03 02:12:42 UTC; root
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>