Escaping RGBland: Selecting colors for statistical graphics

Achim Zeileis (), Kurt Hornik and Paul Murrell

Computational Statistics & Data Analysis, 2009, vol. 53, issue 9, 3259-3270

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).

Date: 2009
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