Fabio Crameri

Scientific colour maps

Accurate data visualisation needs accurate scales,
readable by everyone.

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 8.0.0 (14.06.2023, scm-vn8.0)

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, scientific 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

➡ Convenience package for GPlates

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.

Built by science for science.

See in-use examples in the online science graphics collection s-ink.org
Most academics lack education in scientific visualisation.

Seminars and masterclasses

Colour use

'Use of colour in scientific visualisation'

Learn the do's and don'ts of using colour as an information carrier for scientifically-accurate and universally-inclusive data representation.

Figure design

'Visualise your research'

Learn about the key principles and tools of graphic design and a recipe to make good science graphics.

Presentation design

'Effective presentation design'

Learn how to easily create effective presentations (Talks, PICOs, Posters, Online displays) of complicated topics.