scale_crameri_mutlisequential: Fabio Crameri's Multi-Sequential Color Schemes for 'ggplot2'...

In tesselle/khroma: Colour Schemes for Scientific Data Visualization

Fabio Crameri's Multi-Sequential Color Schemes for ggplot2 and ggraph

Description

Provides multi-sequential color scales from Fabio Crameri's Scientific colour.

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.

Details

Available schemes:

• oleron

• bukavu

• fes

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().

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.4491293")}

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. \Sexpr[results=rd]{tools:::Rd_expr_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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41467-020-19160-7")}

See Also

Other color-blind safe color schemes: scale_crameri_cyclic, scale_crameri_diverging, scale_crameri_sequential, scale_okabeito_discrete, scale_tol_discrete, scale_tol_diverging, scale_tol_sequential

Examples

data(volcano)

volcan <- data.frame(
  x = rep(1:ncol(volcano), each = nrow(volcano)),
  y = rep(1:nrow(volcano), times = ncol(volcano)),
  z = as.numeric(volcano)
)

ggplot2::ggplot(volcan, ggplot2::aes(x, y, fill = z)) +
  ggplot2::geom_raster() +
  scale_fill_oleron(midpoint = 125)

tesselle/khroma documentation built on Jan. 15, 2024, 9:15 p.m.