colorspace: A toolbox for manipulating and assessing colors and palettes
Journal of Statistical Software
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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. The shiny apps are also hosted online at http://hclwizard.org/. |
Suggested Citation
Zeileis, A., Fisher, J.C., Hornik, K., Ihaka, R., McWhite, C.D., Murrell, P., Stauffer, R., Wilke, C.O., 2020, colorspace: A toolbox for manipulating and assessing colors and palettes: Journal of Statistical Software, v. 96, no. 1, 49 p., https://doi.org/10.18637/jss.v096.i01.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | colorspace: A toolbox for manipulating and assessing colors and palettes |
| Series title | Journal of Statistical Software |
| DOI | 10.18637/jss.v096.i01 |
| Volume | 96 |
| Issue | 1 |
| Year Published | 2020 |
| Language | English |
| Publisher | Foundation of Open Access Statistics |
| Contributing office(s) | Idaho Water Science Center |
| Description | 49 p. |