scale_crameri_oleron {khroma}

Fabio Crameri's oleron Multi-Sequential Color Scheme

Description

Fabio Crameri's oleron Multi-Sequential Color Scheme

Usage

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

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

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

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

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

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

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

See Also

Other multi sequential color schemes: scale_crameri_bukavu, scale_crameri_fes

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_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, 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

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)