knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
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 paletteice_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 plotd_pal(data)
returns a colour for a set of valuesSee the website for documentation: https://australianantarcticdivision.github.io/palr/
Install the current release from CRAN using
install.packages("palr")
To install the development version:
library(devtools) install_github("AustralianAntarcticDivision/palr")
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.
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