Fairly representing data
The colour gradients are perceptually uniform and ordered to represent data both fairly, without visual distortion, and intuitively
Scientific colour maps
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
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
Trusted by
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
StagLab 3.0 and later
GMT 6.0 and later
TopoToolbox 2.2 and later
Geoscience ANALYST 2.80 and later
Igor Pro 9.0 and later
XMapTools 3.4.1 and later
KDE LabPlot 2.9 and later
Gen3sis 1.5 and later
SeisLib 0.5.1 and later
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:
Got questions?
What is a Scientific colour map?
Scientific colour maps
In-use examples
