pals (version 1.5)

bivariate: Bivariate palettes

Description

Color palettes designed for bivariate choropleth maps.

Usage

stevens.pinkgreen(n = 9)
stevens.bluered(n = 9)
stevens.pinkblue(n = 9)
stevens.greenblue(n = 9)
stevens.purplegold(n = 9)
brewer.orangeblue(n = 9)
brewer.pinkblue(n = 9)
tolochko.redblue(n = 9)
arc.bluepink(n = 9)
census.blueyellow(n = 9)

Arguments

n

Number of colors to return.

Value

A vector of colors as hex strings.

Details

In each palette name, the color in the upper left corner is given first, and the color in the lower right corner is given second.

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).

References

Joshua Stevens. http://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/

Cindy Brewer. http://www.personal.psu.edu/cab38/ColorSch/SchHTMLs/CBColorSeqSeq.html

Robin Tolochko. http://tolomaps.tumblr.com/post/131671267233/creating-a-bivariate-choropleth-color-scheme

Aileen Buckley. https://www.slideshare.net/aileenbuckley/arc-gis-bivariate-mapping-tools-28903069

https://www.census.gov/population/www/cen2000/atlas/ Total Population, p. 4.

Examples

# NOT RUN {
bivcol <- function(pal){
  tit <- substitute(pal)
  pal <- pal()
  ncol <- length(pal)
  nx <- sqrt(length(pal))
  image(matrix(1:ncol, nrow=sqrt(ncol)), axes=FALSE, col=pal)
  mtext(tit)
}
op <- par(mfrow=c(3,4), mar=c(1,1,2,1))
bivcol(stevens.pinkgreen)
bivcol(stevens.bluered)
bivcol(stevens.pinkblue)
bivcol(stevens.greenblue)
bivcol(stevens.purplegold)
bivcol(brewer.orangeblue)
bivcol(brewer.pinkblue)
bivcol(tolochko.redblue)
bivcol(arc.bluepink)
bivcol(census.blueyellow)
par(op)

# }