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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 plotSee the website for documentation: http://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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.