Package: statebins 1.4.0

statebins: Create United States Uniform Cartogram Heatmaps

The cartogram heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on "The states most threatened by trade" (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>). "State bins" preserve as much of the geographic placement of the states as possible but have the look and feel of a traditional heatmap. Functions are provided that allow for use of a binned, discrete scale, a continuous scale or manually specified colors depending on what is needed for the underlying data.

Authors:Bob Rudis [aut, cre], Harold Gil [ctb], Brian Adams [ctb], Thomas Wood [ctb], Mathew Kiang [ctb]

statebins_1.4.0.tar.gz
statebins_1.4.0.zip(r-4.7)statebins_1.4.0.zip(r-4.6)statebins_1.4.0.zip(r-4.5)
statebins_1.4.0.tgz(r-4.6-any)statebins_1.4.0.tgz(r-4.5-any)
statebins_1.4.0.tar.gz(r-4.7-any)statebins_1.4.0.tar.gz(r-4.6-any)
statebins_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
statebins/json (API)

# Install 'statebins' in R:
install.packages('statebins', repos = c('https://hrbrmstr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://gitlab.com/hrbrmstr/statebins

Datasets:
  • state_tbl - "State" abbreviation to name data frame

On CRAN:

Conda:

cartogramchoroplethchoropleth-mapdata-visualizationdatavisualizationstatebins

7.57 score 125 stars 2 packages 333 scripts 751 downloads 4 exports 17 dependencies

Last updated from:da22fb7a95. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK174
linux-release-x86_64OK115
macos-release-arm64OK86
macos-oldrel-arm64OK131
windows-develOK125
windows-releaseOK123
windows-oldrelOK90
wasm-releaseOK96

Exports:geom_statebinsGeomStatebinsstatebinstheme_statebins

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr