khroma: Colour Schemes for Scientific Data Visualization
Colour schemes ready for each type of data (qualitative,
diverging or sequential), with colours that are distinct for all
people, including colour-blind readers. This package provides an
implementation of Paul Tol (2018) and Fabio Crameri (2018)
<doi:10.5194/gmd-11-2541-2018> colour schemes for use with 'graphics' or
'ggplot2'. It provides tools to simulate colour-blindness and to test
how well the colours of any palette are identifiable. Several
scientific thematic schemes (geologic timescale, land cover, FAO
soils, etc.) are also implemented.
Version: |
1.9.0 |
Depends: |
R (≥ 3.3) |
Imports: |
graphics, grDevices, grid, stats, utils |
Suggests: |
covr, crayon, fansi, ggplot2, ggraph, knitr, rmarkdown, scales, spacesXYZ, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0) |
Published: |
2022-06-18 |
Author: |
Nicolas Frerebeau
[aut, cre] (Université Bordeaux Montaigne),
Brice Lebrun
[ctb] (Université Bordeaux Montaigne),
Vincent Arel-Bundock
[ctb]
(Université de Montréal) |
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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