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idpalette

Palettes based on the colour schemes for IDEM, IDDU, ACEFA, and The Kids Research Institute Australia

idpalette does two things

  • provides functions for colour palettes based on IDEM, IDDU, ACEFA, and The Kids, and
  • provides a scale function that allows the use of these or any color palette with ggplot2 continuous scales.

Palettes

For a palette of n colours, call: idem(n),iddu(n), acefa(n), or thekids(n)

A wider range of slightly differing palettes available via idpalette, see ?idpal for details.

ggplot2 scale

ggplot2 does not like it when you specify an arbitrary vector of colours to a continuous scale. scale_id_continous allows you to pass any vector of colours, either as an idpalette palette, another palette, or a character vector of whatever god-awful unicorn vomitus suits your whimsy of the moment.

Installation

You can install the development version of idpalette from GitHub with:

# install.packages("devtools")
devtools::install_github("idem-lab/idpalette")

Python friend

Python version of idpalette by Rob Moss: https://github.com/robmoss/idpalette

Palettes

IDEM 

library(idpalette)
idem()  # alias for idpalette("idem")

idpalette("idem_official")

IDDU 

iddu()  # alias for idpalette("iddu")

idpalette("iddu_official")

ACEFA 

acefa() # alias for idpalette("acefa")

idpalette("acefa_official")

The Kids 

thekids() # alias for idpalette("thekids")

idpalette("thekids_official")

idpalette("thekids_diverging")

Your colours your way

As many or as few colours as you want, forwards or backwards.

idpalette("iddu", 20)

idpalette("acefa", 2)

idem(10, rev = TRUE)

Deal with ggplot2’s objections.

Sometimes ggplot2 won’t play nicely being fed a vector of values for vector of colours to be used in continuous scales.

scale_id_continuous allows idpalette or any arbitrary vector of colours to be converted into a continuous palette:

library(ggplot2)

ggplot(mtcars) +
 geom_point(
   aes(
     x = disp,
     y = hp,
     colour = qsec
   ),
   size = 5
 ) +
 # usual approach to alter colours:
 # scale_fill_continuous(
 #   palette = iddu()
 # ) # but not allowed: Cannot convert `x` to a continuous palette.
 # instead we use `scale_id_continuous`:
 scale_id_continuous(
   cols = iddu(),
   aesthetics = "colour"
 )

With your own wonderful colour scheme

my_wonderful_colour_scheme <- c("brown4", "magenta", "grey80", "salmon", "gold")

ggplot(mtcars) +
 geom_point(
   aes(
     x = disp,
     y = hp,
     colour = qsec
   ),
   size = 5
 ) +
 scale_id_continuous(
   cols = my_wonderful_colour_scheme,
   aesthetics = "colour"
 )

Have a go ya mug 

library(ggplot2)

ggplot(
  faithfuld,
   aes(waiting, eruptions)
) +
 geom_raster(
   aes(fill = density)
 ) +
  scale_fill_gradientn(
    colours = idpalette("iddu", 100)
  )

ggplot(mpg) +
  geom_bar(
    aes(
      x = trans,
      fill = class
    )
  ) +
  scale_fill_manual(values = idem()) +
  theme_bw()

With terra:

library(sdmtools)
library(terra)
#> terra 1.8.60

r <- example_raster(seed = 20240802)

par(mfcol = c(1, 2))

plot(
  r,
  col = thekids(100)
)

plot(
  r,
  col = thekids(100, rev = TRUE)
)