Fabio Crameri's bukavu Multi-Sequential Color Scheme

Fabio Crameri's bukavu Multi-Sequential Color Scheme

Usage

scale_colour_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_color_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_fill_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "fill"
)

Source

Crameri, F. (2023). Scientific colour maps. Zenodo, v8.0.1. doi:10.5281/zenodo.1243862

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.

Value

A continuous scale.

Sequential Color Schemes

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.

Palette	Max.
`acton`	256
`bamako`	256
`batlow`	256
`batlowW`	256
`batlowK`	256
`bilbao`	256
`buda`	256
`bukavu`*	256
`davos`	256
`devon`	256
`fes`*	256
`glasgow`	256
`grayC`	256
`hawaii`	256
`imola`	256
`lajolla`	256
`lapaz`	256
`navia`	256
`naviaW`	256
`nuuk`	256
`oleron`*	256
`oslo`	256
`tokyo`	256
`turku`	256

*: multisequential color schemes.

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

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_glasgow, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lipari, scale_crameri_lisbon, scale_crameri_managua, scale_crameri_navia, scale_crameri_naviaW, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Author

N. Frerebeau

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)