colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes
Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D., McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke

TL;DR
The colorspace R package offers a comprehensive toolkit for selecting, manipulating, and visualizing color palettes based on the HCL color space, enhancing data visualization with perceptually intuitive colors.
Contribution
It introduces a flexible, HCL-based palette system with tools for selection, manipulation, and visualization, tailored for statistical graphics and data visualization.
Findings
Provides diverse HCL-based color palettes for different data types.
Includes tools for palette manipulation and visualization.
Supports color vision deficiency emulation.
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,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSensory Analysis and Statistical Methods · Color Science and Applications · Color perception and design
