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Under the mantra: ‘Make use of colorblind friendly graphs’

Author

Listed:
  • Duccio Rocchini
  • Ludovico Chieffallo
  • Elisa Thouverai
  • Rossella D'Introno
  • Francesca Dagostin
  • Emma Donini
  • Giles Foody
  • Simon Garnier
  • Guilherme G. Mazzochini
  • Vitezslav Moudry
  • Bob Rudis
  • Petra Simova
  • Michele Torresani
  • Jakub Nowosad

Abstract

Colorblindness is a genetic condition that affects a person's ability to accurately perceive colors. Several papers still exist making use of rainbow colors palette to show output. In such cases, for colorblind people such graphs are meaningless. In this paper, we propose good practices and coding solutions developed in the R Free and Open Source Software to (i) simulate colorblindness, (ii) develop colorblind friendly color palettes and (iii) provide the tools for converting a noncolorblind friendly graph into a new image with improved colors.

Suggested Citation

  • Duccio Rocchini & Ludovico Chieffallo & Elisa Thouverai & Rossella D'Introno & Francesca Dagostin & Emma Donini & Giles Foody & Simon Garnier & Guilherme G. Mazzochini & Vitezslav Moudry & Bob Rudis &, 2024. "Under the mantra: ‘Make use of colorblind friendly graphs’," Environmetrics, John Wiley & Sons, Ltd., vol. 35(6), September.
    • Handle: RePEc:wly:envmet:v:35:y:2024:i:6:n:e2877
    DOI: 10.1002/env.2877
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    References listed on IDEAS

    as
    1. Xiaotian Zheng & Athanasios Kottas & Bruno Sansó, 2023. "Bayesian geostatistical modeling for discrete‐valued processes," Environmetrics, John Wiley & Sons, Ltd., vol. 34(7), November.
    2. Fabio Crameri & Grace E. Shephard & Philip J. Heron, 2020. "The misuse of colour in science communication," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
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