Escaping RGBland: Selecting colors for statistical graphics

Authors:
Achim Zeileis;Kurt Hornik;Paul Murrell
Affiliations:
Wirtschaftsuniversität Wien, Austria;Wirtschaftsuniversität Wien, Austria;The University of Auckland, New Zealand
Venue:
Computational Statistics & Data Analysis
Year:
2009

Citing 10
Cited 2

Envisioning information

Envisioning information
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Abstract

Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines)-e.g., as in bar plots, pie charts, mosaic displays or heatmaps-it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chroma-Luminance (HCL) color space suitable color palettes are derived for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes).