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

Author:

Rocchini Duccio12ORCID,Chieffallo Ludovico1,Thouverai Elisa13,D'Introno Rossella4,Dagostin Francesca5,Donini Emma1,Foody Giles6,Garnier Simon7,Mazzochini Guilherme G.8ORCID,Moudry Vitezslav2,Rudis Bob9,Simova Petra2,Torresani Michele10,Nowosad Jakub11

Affiliation:

1. BIOME Lab, Department of Biological, Geological and Environmental Sciences Alma Mater Studiorum University of Bologna Bologna Italy

2. Department of Spatial Sciences, Faculty of Environmental Sciences Czech University of Life Sciences Prague Praha Suchdol Czech Republic

3. Department of Life Sciences University of Trieste Trieste Italy

4. Luigi Sacco Hospital Milan Italy

5. Research and Innovation Centre Fondazione Edmund Mach San Michele all'Adige Trentino Italy

6. School of Geography University of Nottingham Nottingham UK

7. Department of Biological Sciences New Jersey Institute of Technology Newark New Jersey USA

8. Graduate Program in Ecology, Department of Ecology Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil

9. GreyNoise Intelligence

10. Faculty of Agricultural, Environmental and Food Sciences Free University of Bolzano‐Bozen Italy

11. Institute of Geoecology and Geoinformation, Faculty of Geographical and Geological Sciences Adam Mickiewicz University Poznan Poland

Abstract

AbstractColorblindness 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.

Publisher

Wiley

Reference29 articles.

1. Worldwide prevalence of red-green color deficiency

2. The misuse of colour in science communication

3. The molecular basis of variation in human color vision

4. Garnier S. Ross N. Rudis R. Camargo A. P. Sciaini M. &Scherer C.(2023).viridis ‐ colourblind‐Friendly colour Maps for R. R package version 0.6.4https://CRAN.R‐project.org/package=viridis

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3