Quotation Zeileis, Achim, Fischer, Jason C., Hornik, Kurt, Ihaka, Ross, McWhite, Claire D., Murrell, Paul, Stauffer, Reto, Wilke, Claus O. 2019. colorspace: A toolbox for manipulating and assessing colors and palettes. None. https://arxiv.org/abs/1903.06490


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Abstract

The R package colorspace provides a flexible toolbox for selecting individual colors or color palettes, manipulating these colors, and employing them in statistical graphics and data visualizations. In particular, the package provides a broad range of color palettes based on the HCL (Hue-Chroma-Luminance) color space. The three HCL dimensions have been shown to match those of the human visual system very well, thus facilitating intuitive selection of color palettes through trajectories in this space. Using the HCL color model general strategies for three types of palettes are implemented: (1) Qualitative for coding categorical information, i.e., where no particular ordering of categories is available. (2) Sequential for coding ordered/numeric information, i.e., going from high to low (or vice versa). (3) Diverging for coding ordered/numeric information around a central neutral value, i.e., where colors diverge from neutral to two extremes. To aid selection and application of these palettes the package also contains scales for use with ggplot2, shiny (and tcltk) apps for interactive exploration, visualizations of palette properties, accompanying manipulation utilities (like desaturation and lighten/darken), and emulation of color vision deficiencies.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication eBook/chapter in eBook
Language English
Title colorspace: A toolbox for manipulating and assessing colors and palettes.
Year 2019
URL https://arxiv.org/abs/1903.06490

Associations

People
Hornik, Kurt (Details)
External
Fischer, Jason C. (U.S. Geological Survey, United States/USA)
Ihaka, Ross (University of Auckland, New Zealand)
McWhite, Claire D. (The University of Texas at Austin, United States/USA)
Murrell, Paul (University of Auckland, New Zealand)
Stauffer, Reto (Universtität Innsbruck, Austria)
Wilke, Claus O. (The University of Texas at Austin, United States/USA)
Zeileis, Achim (Universtität Innsbruck, Austria)
Organization
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1104 Applied mathematics (Details)
1105 Computer software (Details)
1121 Operations research (Details)
1162 Statistics (Details)
1165 Stochastics (Details)
5361 Financial management (Details)
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