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The accurate representation of data is essential in science communication. However, colour maps that visually distort data through uneven colour gradients or are unreadable to those with colour-vision deficiency remain prevalent in science. These include, but are not limited to, rainbow-like and red-green colour maps. Here, we present a simple guide for the scientific use of colour. We show how scientifically derived colour maps report true data variations, reduce complexity, and are accessible for people with colour-vision deficiencies. We highlight ways for the scientific community to identify and prevent the misuse of colour in science, and call for a proactive step away from colour misuse among the community, publishers, and the press.
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Fabio Crameri
University of Bern
Grace E. Shephard
Australian National University
Philip J. Heron
University of Toronto
Nature Communications
SHILAP Revista de lepidopterología
University of Oslo
Durham University
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Crameri et al. (Wed,) studied this question.
synapsesocial.com/papers/69d8a9ada5ecc596b5d181f4 — DOI: https://doi.org/10.1038/s41467-020-19160-7
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