A graphical user interface (GUI) for viewing, manipulating, and choosing HCL color palettes.
function; the initial palette, see ‘Value’ below.
Only used if
integer; the initial number of colors in the palette.
tkwin; the GUI parent window.
Only used if
character; GUI to use. Available options are
Computes palettes based on the HCL (hue-chroma-luminance) color
model (as implemented by
polarLUV). The GUIs interface
the palette functions
rainbow_hcl for qualitative palettes,
sequential_hcl for sequential palettes with a single hue,
heat_hcl for sequential palettes with multiple hues, and
diverge_hcl for diverging palettes (composed from two single-hue
Two different GUIs are implemented and can be selected using the
function input argument
Both GUIs allows for interactive modification of the arguments of the respective
palette-generating functions, i.e.,
starting/ending hue (wavelength, type of color),
minimal/maximal chroma (colorfulness),
minimal maximal luminance (brightness, amount of gray), and
a power transformations that control how quickly/slowly chroma and/or
luminance are changed through the palette. Subsets of the parameters
may not be applicable depending on the type of palette chosen. See
rainbow_hcl and Zeileis et al. (2009) for a more detailed
explanation of the different arguments. Stauffer et al. (2015) provide
more examples and guidance.
Optionally, active palette can be illustrated by using a range of examples such as a map, heatmap, scatter plot, perspective 3D surface etc.
To demonstrate different types of deficiencies, the active palette may
be desaturated (emulating printing on a grayscale printer) and, if the
dichromat package is available, collapsed to
emulate different types of color-blindness (without red-green or green-blue
Returns a palette-generating function with the selected arguments. Thus, the returned function takes an integer argument and returns the corresponding number of HCL colors by traversing HCL space through interpolation of the specified hue/chroma/luminance/power values.
Jason C. Fisher, Reto Stauffer, Achim Zeileis
Zeileis A, Hornik K, Murrell P (2009). Escaping RGBland: Selecting Colors for Statistical Graphics. Computational Statistics & Data Analysis, 53, 3259–3270. doi: 10.1016/j.csda.2008.11.033 Preprint available from https://eeecon.uibk.ac.at/~zeileis/papers/Zeileis+Hornik+Murrell-2009.pdf.
Stauffer R, Mayr GJ, Dabernig M, Zeileis A (2015). Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations. Bulletin of the American Meteorological Society, 96(2), 203–216. doi: 10.1175/BAMS-D-13-00155.1
1 2 3 4 5 6 7 8 9 10 11
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.