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Zeileis, Achim; Hornik, Kurt; Murrell, Paul:
Escaping RGBland: Selecting Colors for Statistical Graphics

Research Report Series / Department of Statistics and Mathematics, Nr. 61, November 2007
Department of Statistics and Mathematics external link,
Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2007


Holdings from the WU library catalog external link | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_c87

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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. Here, we discuss how the perceptually-based Hue-Chroma-Luminance (HCL) color space can be used for deriving suitable color palettes for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes). (author's abstract)

 Keywords:

qualitative palette / sequential palette / diverging palette / HCL colors / HSV colors / perceptually-based color space


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