Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97263" target="_blank" >RIV/60460709:41330/23:97263 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.ecoinf.2023.102045" target="_blank" >http://dx.doi.org/10.1016/j.ecoinf.2023.102045</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecoinf.2023.102045" target="_blank" >10.1016/j.ecoinf.2023.102045</a>

Result language

angličtina

Original language name

Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns

Original language description

Maps represent powerful tools to show the spatial variation of a variable in a straightforward manner. A crucial aspect in map rendering for its interpretation by users is the gamut of colours used for displaying data. One part of this problem is linked to the proportion of the human population that is colour blind and, therefore, highly sensitive to colour palette selection. The aim of this paper is to present the cblindplot R package and its founding function -cblind.plot() -which enables colour blind people to just enter an image in a coding workflow, simply set their colour blind deficiency type, and immediately get as output a colour blind friendly plot. We will first describe in detail colour blind problems, and then show a step by step example of the function being proposed. While examples exist to provide colour blind people with proper colour palettes, in such cases (i) the workflow include a separate import of the image and the application of a set of colour ramp palettes and (ii) albeit being well documented, there are many steps to be done before plotting an image with a colour blind friendly ramp palette. The function described in this paper, on the contrary, allows to (i) automatically call the image inside the function without any initial import step and (ii) explicitly refer to the colour blind deficiency type being experienced, to further automatically apply the proper colour ramp palette.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20705 - Remote sensing

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ecological Informatics

ISSN

1574-9541

e-ISSN

1574-9541

Volume of the periodical

76

Issue of the periodical within the volume

102045

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

1-7

UT code for WoS article

000958800800001

EID of the result in the Scopus database

2-s2.0-85150247640