khroma: Colour Schemes for Scientific Data Visualization

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.

Package details

AuthorNicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>, Université Bordeaux Montaigne), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Université Bordeaux Montaigne), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>, Université de Montréal), Ulrik Stervbo [ctb] (<https://orcid.org/0000-0002-2831-8868>, Ruhr-Universität Bochum), Université Bordeaux Montaigne [fnd], CNRS [fnd]
MaintainerNicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
LicenseGPL (>= 3)
Version1.14.0
URL https://packages.tesselle.org/khroma/ https://github.com/tesselle/khroma
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("khroma")

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khroma documentation built on Sept. 11, 2024, 5:26 p.m.