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Tag: Perceptually uniform

Perceptually-uniform colour gradients

Accurate colour scales for data visualisation have a constant local colour contrast between neighbouring colour values along the individual gradients.

Accurate colour scales for data visualisation have a constant local colour contrast between neighbouring colour values along the individual gradients. The open-access Scientific colour maps (Crameri, 2018) are perceptually-uniform and also colour-blind friendly colour gradients that are suitable for mapping data with colour in any type of science graph.

  • Vector-format version
  • Transparent background
  • Light & dark background versions
  • Colour-vision deficiency friendly
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Mars terraforming

Terraforming Mars visually using scientific colormaps of Crameri (2018).

Theoretical terraforming Mars using the Scientific colormap ‘oleron‘ of Crameri (2018) highlighting the planet’s surface dichotomy. The animation shows the digital elevation model (available from https://astrogeology.usgs.gov) based on Mars Orbiter Laser Altimeter data (MOLA; Smith et al. 1999) obtained on NASA’s Mars Global Surveyor (MGS) spacecraft (Albee et al. 2001).

  • High-res GIF and video formats
  • Light and dark background versions
  • Perceptually uniform colour map (but unequal representation below and above zero level)
  • Colour-vision deficiency friendly
  • Readable in black&white
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Effective visualisation (geodynamic modelling)

Effective visualisation through a scientific use of colours.

Effective visualisation through a scientific use of colours. Non-scientific colour maps (a,b) like rainbow always misrepresent data, are often not intuitive, and are inaccessible to a large portion of the readers, while scientific colour maps (c,d) like lajolla or vik (Crameri et al., 2020) ensure unbiased and intuitive data representation and are inclusive to readers with colour-vision deficiencies and even colour blindness.

  • Creator: Fabio Crameri
  • This version: 12.11.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri from van Zelst et al. (2021) is available via the open-access s-ink.org repository.
  • Related reference: van Zelst, I., F. Crameri, A.E. Pusok, A.C. Glerum, J. Dannberg, C. Thieulot (2022), 101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth, Solid Earth, 13, 583–637, doi:10.5194/se-13-583-2022
  • Transparent background
  • Dark background version
  • Vector format
  • Colour-vision deficiency friendly
  • Readable in black&white
Download

Faulty or missing link? – Please report them via a reply below!

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