Package: earthtones 0.2.0

Will Cornwell

earthtones: Derive a Color Palette from a Particular Location on Earth

Downloads a satellite image via ESRI and maptiles (these are originally from a variety of aerial photography sources), translates the image into a perceptually uniform color space, runs one of a few different clustering algorithms on the colors in the image searching for a user-supplied number of colors, and returns the resulting color palette.

Authors:Will Cornwell [aut, cre], Mitch Lyons [aut], Nick Murray [aut]

earthtones_0.2.0.tar.gz
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earthtones_0.2.0.tgz(r-4.5-any)earthtones_0.2.0.tgz(r-4.4-any)earthtones_0.2.0.tgz(r-4.3-any)
earthtones_0.2.0.tar.gz(r-4.5-noble)earthtones_0.2.0.tar.gz(r-4.4-noble)
earthtones_0.2.0.tgz(r-4.4-emscripten)earthtones_0.2.0.tgz(r-4.3-emscripten)
earthtones.pdf |earthtones.html✨
earthtones/json (API)
NEWS

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

Bug tracker:https://github.com/traitecoevo/earthtones/issues

On CRAN:

Conda:

4.48 score 30 stars 162 downloads 1 exports 28 dependencies

Last updated 2 hours agofrom:d19cf2e5f0. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winOKMar 31 2025
R-4.5-macOKMar 31 2025
R-4.5-linuxOKMar 31 2025
R-4.4-winOKMar 31 2025
R-4.4-macOKMar 31 2025
R-4.4-linuxOKMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:get_earthtones

Dependencies:classclassIntclicurlDBIdigeste1071glueKernSmoothlatticelifecyclemagrittrmaptilesMASSpngproxypurrrrasterRcpprlangs2sfslippymathspterraunitsvctrswk