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Downloads a satellite image via Google Maps/Earth (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.
Version: | 0.1.1 |
Depends: | R (≥ 3.1.0) |
Imports: | ggmap (≥ 2.6.1) |
Suggests: | testthat, cluster, knitr, rmarkdown, ggplot2 |
Published: | 2019-01-13 |
DOI: | 10.32614/CRAN.package.earthtones |
Author: | Will Cornwell, Mitch Lyons, Nick Murray |
Maintainer: | Will Cornwell <wcornwell at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | earthtones results |
Reference manual: | earthtones.pdf |
Package source: | earthtones_0.1.1.tar.gz |
Windows binaries: | r-devel: earthtones_0.1.1.zip, r-release: earthtones_0.1.1.zip, r-oldrel: earthtones_0.1.1.zip |
macOS binaries: | r-release (arm64): earthtones_0.1.1.tgz, r-oldrel (arm64): earthtones_0.1.1.tgz, r-release (x86_64): earthtones_0.1.1.tgz, r-oldrel (x86_64): earthtones_0.1.1.tgz |
Old sources: | earthtones archive |
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These binaries (installable software) and packages are in development.
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