Fabio Crameri's bilbao Sequential Color Scheme

## Usage

scale_colour_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "colour"
)

scale_color_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "colour"
)

scale_fill_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "fill"
)

scale_edge_colour_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "edge_colour"
)

scale_edge_color_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "edge_colour"
)

scale_edge_fill_bilbao(
...,
reverse = FALSE,
range = c(0, 1),
discrete = FALSE,
aesthetics = "edge_fill"
)

## 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.

discrete

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

aesthetics

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

## Value

A continuous scale.

## 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

N. Frerebeau

## Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +
scale_fill_hawaii(reverse = TRUE)