Colour Schemes for Scientific Data Visualization R package khroma version 1.17.0 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. Software Depends: R (>= 3.5.0) Imports: graphics, grDevices, grid, stats, utils Suggests: fontquiver, ggplot2, ggraph, knitr, markdown, rsvg, scales, spacesXYZ, svglite, tinysnapshot (>= 0.2.0), tinytest Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr> Comprehensive R Archive Network (CRAN) Nicolas Frerebeau [aut, cre] (ORCID: <https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [art] (ORCID: <https://orcid.org/0000-0001-7503-8685>, Logo designer), Vincent Arel-Bundock [ctb] (ORCID: <https://orcid.org/0000-0003-2042-7063>), Ulrik Stervbo [ctb] (ORCID: <https://orcid.org/0000-0002-2831-8868>), Université Bordeaux Montaigne [fnd] (ROR: <https://ror.org/03pbgwk21>), CNRS [fnd] (ROR: <https://ror.org/02feahw73>) GPL (>= 3) 2025-09-29 application/tgz https://CRAN.R-project.org/package=khroma doi:10.32614/CRAN.package.khroma