Colour vision deficiency – Accessible Science Graphics Collection

Colour-blind friendly palettes

Visually accessible colour palettes for inclusive graphic design contain only colours that are also discernible when converted to grey-scale.

Visually accessible colour palettes for inclusive graphic design contain only colours that are also discernible when converted to grey-scale. The simulated colour-blind appearance of the individual colours is presented at the bottom portions of the coloured arcs. The open-access Scientific colour maps (Crameri, 2018) are colour-blind friendly colour palettes that are suitable for data visualisation and more general graphic applications, such as web design.

Creator: Fabio Crameri
This version: 19.06.2024
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Specific citation: This graphic by Fabio Crameri and Sari Hason from Crameri and Hason (2024) is available via the open-access s-ink.org repository.
Related reference:
Crameri, F. and S. Hason (2024), Navigating color integrity in data visualization, Patterns, 5(5), https://doi.org/10.1016/j.patter.2024.100972

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

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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!