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Provides diverging color scales from Fabio Crameri's Scientific colour.

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

Value

A continuous scale.

Details

Available schemes:

  • broc

  • cork

  • vik

  • lisbon

  • tofino

  • berlin

  • roma

  • bam

  • vanimo

Interpolation

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Note that the default color for NA can be overridden by passing a value to ggplot2::continuous_scale().#'

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

Author

N. Frerebeau

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)


ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)