palr

palr provides colour palettes for data, based on some well known remotely sensed data sets for sea ice concentration, sea surface temperature and chlorophyll-a. It includes function image_pal() to create the data used by the image() function as colours.

There are five main ways of working with palr palette functions, which have names like ice_pal(), chl_pal() and sst_pal() for ice, chlorophyll-a and sst respectively and mk_timePal for creating a time-mapped palette function.

• ice_pal(n) return n colours from the palette
• ice_pal(data) return the right colour for values in data
• ice_pal(palette = TRUE) returns the entire palette, with colours cols and intervals breaks
• tfun <- mk_timePal(datetimes, pal); plot(x, tfun(dt)) match date-times to a palette, or palette function.
• image_pal(data, col = colors, breaks = breaks) emulates the behaviour of image() but return colours as data rather than draw a plot
• d_pal(data) returns a colour for a set of values

See the website for documentation: https://australianantarcticdivision.github.io/palr/

Installation

Install the current release from CRAN using

install.packages("palr")

To install the development version:

library(devtools)
# install_github("AustralianAntarcticDivision/palr")
install.packages("palr", repos = c('https://australianantarcticdivision.r-universe.dev', 'https://cloud.r-project.org'))

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Please note that the palr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.