colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes

Dublin Core

Title

colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes

Subject

color, palette, HCL, RGB, hue, color vision deficiency, R.

Description

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/

Creator

Achim Zeileis

Source

https://www.jstatsoft.org/article/view/v096i01

Publisher

Universität Innsbruck
J

Date

November 2020

Contributor

Fajar bagus W

Format

PDF

Language

Inggris

Type

Text

Files

Citation

Achim Zeileis, “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8167.