Pals: Color Palettes, Colormaps, and Tools to Evaluate Them
Package pals
July 17, 2024
Title Color Palettes, Colormaps, and Tools to Evaluate Them
Version 1.9
Description A comprehensive collection of color palettes, colormaps, and
tools to evaluate them. See Kovesi (2015) .
License MIT + file LICENSE
URL
BugReports
Depends R (>= 2.10)
Imports colorspace, dichromat, graphics, grDevices, mapproj, maps,
methods, stats
Suggests classInt, ggplot2, knitr, latticeExtra, reshape2, rgl,
rmarkdown, testthat
VignetteBuilder knitr
Encoding UTF-8
Language en-US
RoxygenNote 7.3.1
NeedsCompilation no
Author Kevin Wright [aut, cre, cph] ()
Maintainer Kevin Wright
Repository CRAN
Date/Publication 2024-07-16 22:10:02 UTC
Contents
bivariate .
brewer . .
continuous
discrete .
kovesi . .
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. 2
. 4
. 8
. 11
. 14
2
bivariate
matplotlib . . .
niccoli . . . . .
ocean . . . . .
pal.bands . . .
pal.channels . .
pal.cluster . . .
press .
pal.csf . . . . .
pal.cube . . . .
pal.dist . . . . .
pal.heatmap . .
pal.heatmap2 .
pal.map . . . .
pal.maxdist . .
pal.safe . . . .
pal.scatter . . .
pal.sineramp . .
pal.test . . . . .
pal.volcano . .
pal.zcurve . . .
pals . . . . . .
pals.maxcolors
penobscot . . .
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Index
bivariate
Bivariate palettes
Color palettes designed for bivariate choropleth maps.
arc.bluepink(n = 9)
brewer.qualbin(n = 6)
brewer.divbin(n = 6)
brewer.divseq(n = 9)
brewer.qualseq(n = 9)
brewer.divdiv(n = 9)
brewer.seqseq1(n = 9)
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17
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Description
Usage
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bivariate
3
brewer.seqseq2(n = 9)
census.blueyellow(n = 9)
tolochko.redblue(n = 9)
stevens.pinkgreen(n = 9)
stevens.bluered(n = 9)
stevens.pinkblue(n = 9)
stevens.greenblue(n = 9)
stevens.purplegold(n = 9)
vsup.viridis(n = 32)
vsup.redblue(n = 32)
Arguments
n
Number of colors to return.
Details
In many of these palette names, the color in the upper left corner is given first, and the color in the
lower right corner is given second.
The brewer.* palettes use bin (binary), div (diverging), qual (qualitative), seq (sequential)
for the horizontal and vertical directions.
The arc.bluepink palette uses white in the lower-left corner, which makes it difficult to see the
difference between low values and missing data on maps.
The census.blueyellow palette is slightly different, in that one direction uses lightness, and the
other direction uses hue (yellow, green, blue).
The vsup.* palettes are Value-Suppressing Uncertainty Palettes.
We strongly discourage using vsup.viridis, because the horizontal axis has changes in brightness,
which are confounded with the changes in brightness in the vertical axis.
These palettes are all deliberately chosen to be discrete.
Bivariate color palettes can be difficult to use and interpret. Please be careful.
Value
A vector of colors as hex strings.
Author(s)
Palette colors by various authors. R code by Kevin Wright.
4
brewer
References
Joshua Stevens.
Cindy Brewer.
Michael Correll AND Dominik Moritz AND Jeffrey Heer. (2018). Value-Suppressing Uncertainty
Palettes.
Robin Tolochko.
Aileen Buckley.
Total Population, p. 4.
Examples
bivcol ................
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