Title: | ColorBrewer Palettes |
---|---|
Description: | Provides color schemes for maps (and other graphics) designed by Cynthia Brewer as described at http://colorbrewer2.org. |
Authors: | Erich Neuwirth [aut, cre] |
Maintainer: | Erich Neuwirth <[email protected]> |
License: | Apache License 2.0 |
Version: | 1.1-3 |
Built: | 2024-12-16 06:32:21 UTC |
Source: | CRAN |
Creates nice looking color palettes especially for thematic maps
brewer.pal(n, name) display.brewer.pal(n, name) display.brewer.all(n=NULL, type="all", select=NULL, exact.n=TRUE, colorblindFriendly=FALSE) brewer.pal.info
brewer.pal(n, name) display.brewer.pal(n, name) display.brewer.all(n=NULL, type="all", select=NULL, exact.n=TRUE, colorblindFriendly=FALSE) brewer.pal.info
n |
Number of different colors in the palette, minimum 3, maximum depending on palette |
name |
A palette name from the lists below |
type |
One of the string "div", "qual", "seq", or "all" |
select |
A list of names of existing palettes |
exact.n |
If TRUE, only display palettes with a color number given by n |
colorblindFriendly |
if TRUE, display only colorblind friendly palettes |
brewer.pal
makes the color palettes from ColorBrewer
available as R palettes.
display.brewer.pal()
displays the selected palette in a graphics window.
display.brewer.all()
displays the a few palettes simultanueously in a graphics window.
brewer.pal.info
returns information about the available palettes as a dataframe.
brewer.pal.info
is not a function, it is a variable. This might change in the future.
For details and an interactive palette selection tools see http://colorbrewer.org. It is free to use, although ColorBrewer's designers would appreciate it if you could cite the ColorBrewer project if you decide to use one of our color schemes.
There are 3 types of palettes, sequential, diverging, and qualitative.
1. Sequential palettes are suited to ordered data that progress from low to high.
Lightness steps dominate the look of these schemes, with light colors for low data values
to dark colors for high data values.
2. Diverging palettes put equal emphasis on mid-range critical values and extremes at both ends
of the data range. The critical class or break in the middle of the legend is emphasized
with light colors and low and high extremes are emphasized with dark colors that have
contrasting hues.
3. Qualitative palettes do not imply magnitude differences between legend classes,
and hues are used to create the primary visual differences between classes.
Qualitative schemes are best suited to representing nominal or categorical data.
The sequential palettes names are
Blues
BuGn
BuPu
GnBu
Greens
Greys
Oranges
OrRd
PuBu
PuBuGn
PuRd
Purples
RdPu
Reds
YlGn
YlGnBu
YlOrBr
YlOrRd
All the sequential palettes are available in variations from 3 different values up to 9 different values.
The diverging palettes are
BrBG
PiYG
PRGn
PuOr
RdBu
RdGy
RdYlBu
RdYlGn
Spectral
All the diverging palettes are available in variations from 3 different values up to 11 different values.
For qualitative palettes, the lowest number of distinct values available always is 3, but the largest number is different for different palettes. It is given together with the palette names in the following table.
Accent | 8 |
Dark2 | 8 |
Paired | 12 |
Pastel1 | 9 |
Pastel2 | 8 |
Set1 | 9 |
Set2 | 8 |
Set3 | 12 |
ColorBrewer is
Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania State University.
All rights reserved.
The ColorBrewer palettes have been included in this R package with permission of the copyright holder.
For license details see the file COPYING
included in this package.
A palette
You will get an error when you ask for a nonexisting palette,
and you will get a warning if a palette you asked for exists
but not with as many different leves as you asked for.
More information on ColorBrewer is available at its Website, http://www.colorbrewer.org.
Erich Neuwirth, University of Vienna, [email protected], with contributions by John Maindonald, Australian National University, [email protected]
## create a sequential palette for usage and show colors mypalette<-brewer.pal(7,"Greens") image(1:7,1,as.matrix(1:7),col=mypalette,xlab="Greens (sequential)", ylab="",xaxt="n",yaxt="n",bty="n") ## display a divergent palette display.brewer.pal(7,"BrBG") devAskNewPage(ask=TRUE) ## display a qualitative palette display.brewer.pal(7,"Accent") devAskNewPage(ask=TRUE) ## display a palettes simultanoeusly display.brewer.all(n=10, exact.n=FALSE) devAskNewPage(ask=TRUE) display.brewer.all(n=10) devAskNewPage(ask=TRUE) display.brewer.all() devAskNewPage(ask=TRUE) display.brewer.all(type="div") devAskNewPage(ask=TRUE) display.brewer.all(type="seq") devAskNewPage(ask=TRUE) display.brewer.all(type="qual") devAskNewPage(ask=TRUE) display.brewer.all(n=5,type="div",exact.n=TRUE) devAskNewPage(ask=TRUE) display.brewer.all(colorblindFriendly=TRUE) devAskNewPage(ask=TRUE) brewer.pal.info brewer.pal.info["Blues",] brewer.pal.info["Blues",]$maxcolors
## create a sequential palette for usage and show colors mypalette<-brewer.pal(7,"Greens") image(1:7,1,as.matrix(1:7),col=mypalette,xlab="Greens (sequential)", ylab="",xaxt="n",yaxt="n",bty="n") ## display a divergent palette display.brewer.pal(7,"BrBG") devAskNewPage(ask=TRUE) ## display a qualitative palette display.brewer.pal(7,"Accent") devAskNewPage(ask=TRUE) ## display a palettes simultanoeusly display.brewer.all(n=10, exact.n=FALSE) devAskNewPage(ask=TRUE) display.brewer.all(n=10) devAskNewPage(ask=TRUE) display.brewer.all() devAskNewPage(ask=TRUE) display.brewer.all(type="div") devAskNewPage(ask=TRUE) display.brewer.all(type="seq") devAskNewPage(ask=TRUE) display.brewer.all(type="qual") devAskNewPage(ask=TRUE) display.brewer.all(n=5,type="div",exact.n=TRUE) devAskNewPage(ask=TRUE) display.brewer.all(colorblindFriendly=TRUE) devAskNewPage(ask=TRUE) brewer.pal.info brewer.pal.info["Blues",] brewer.pal.info["Blues",]$maxcolors