khroma: Colour Schemes for Scientific Data Visualization (original) (raw)
Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi:10.5194/gmd-11-2541-2018> color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Version: | 1.14.0 |
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Depends: | R (≥ 3.5.0) |
Imports: | graphics, grDevices, grid, stats, utils |
Suggests: | ggplot2, ggraph, knitr, markdown, rsvg, scales, spacesXYZ, svglite, tinysnapshot, tinytest |
Published: | 2024-08-26 |
DOI: | 10.32614/CRAN.package.khroma |
Author: | Nicolas Frerebeau [aut, cre] (Université Bordeaux Montaigne), Brice Lebrun [ctb] (Université Bordeaux Montaigne), Vincent Arel-Bundock [ctb] (Université de Montréal), Ulrik Stervbo [ctb] (Ruhr-Universität Bochum), Université Bordeaux Montaigne [fnd], CNRS [fnd] |
Maintainer: | Nicolas Frerebeau <nicolas.frerebeau at u-bordeaux-montaigne.fr> |
BugReports: | https://github.com/tesselle/khroma/issues |
License: | GPL (≥ 3) |
URL: | https://packages.tesselle.org/khroma/,https://github.com/tesselle/khroma |
NeedsCompilation: | no |
Citation: | khroma citation info |
Materials: | README NEWS |
CRAN checks: | khroma results |
Documentation:
Downloads:
Reverse dependencies:
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