Fabio Crameri

Scientific colour maps

Fairly representing data

The colour gradients are perceptually uniform and ordered to represent data both fairly, without visual distortion, and intuitively

Universally readable

The colour combinations are readable both by colour-vision deficient and colour-blind people, and even when printed in black&white

Citable & reproducible

The colour maps and their diagnostics are permanently archived and versioned to enable upgrades and acknowledge developers and contributors

Version 7.0.1 (12.09.2021, scm-vn7.0)

Crameri, F. (2018). Scientific colour maps. Zenodo. http://doi.org/10.5281/zenodo.1243862

Crameri, F. (2018), Geodynamic diagnostics, scientific visualisation and StagLab 3.0, Geosci. Model Dev., 11, 2541-2562, doi:10.5194/gmd-11-2541-2018

Crameri, F., G.E. Shephard, and P.J. Heron (2020), The misuse of colour in science communication, Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

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The suite of Scientific colour maps for data-true and universally accessible data visualisation.

Built for (almost) everything

MatLab, Python, Julia, R, GMT, QGIS, Ncview, Ferret, Plotly, Paraview, VisIt, Mathematica, Gnuplot, Surfer, d3, SKUA-GOCAD, Petrel, XMapTools, COMSOL Multiphysics, Fledermaus, Qimera, ImageJ, Fiji, Kingdom, Originlab, GIMP, Inkscape, Adobe Photoshop, and more...

Extra formats (not included in the package)

➡ Extra formats for QPS software

➡ Extra formats for Kingdom software

➡ Extra formats for Originlab software

➡ Extra formats for Adobe Photoshop

➡ Extra formats for Adobe Illustrator

➡ Extra formats for OpendTect software

Built into (almost) everything

Built for builders

  • Inclusivity: Apple macOS application including a colour scheme editor and accessibility tester to develop WCAG-proof iOS and macOS apps.

...and this is how:

Scientific colour maps

In-use examples

TopoToolbox selection by Wolfgang Schwanghart.Coltice et al. (2019), Figure 3aDöhmann et al. (2019), Figure 3Duretz et al. (2019), Figure 4lajolla in Arnould et al. (2019), Figure 2bKareta et al. (PrePrint)Münchmeyer et al. (2019), Figure 1Okada (2020), Figure 2Scott et al. (2019), Figure 11aStraume et al. (2019) on AGU Gcubed coverMaupin (2017)Wright (2019), Figure 1Agrusta et al. (2018)Straume et al. (2019), Figures 1, 2 and 7Albano et al. (2018)Foley (2018)Golledge et al. (2019)Orosei et al. (2018)Solferino and Golabek (2018)Thieulot (2018)batlow in Ward et al. (2021)vik in Ward et al. (2021)roma in Gilford et al. (2019)devon in Matiu et al. (2021)
See more in the online science graphics collection s-ink.org