Fabio Crameri's lisbon Diverging Color Scheme

Fabio Crameri's lisbon Diverging Color Scheme

Usage

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

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

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

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

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

scale_edge_fill_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  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.
midpoint: A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.
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.

Diverging 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.
`broc`	256
`cork`	256
`vik`	256
`lisbon`	256
`tofino`	256
`berlin`	256
`roma`	256
`bam`	256
`vanimo`	256
`brocO`*	256
`corkO`*	256
`vikO`*	256
`romaO`*	256
`bamO`*	256

*: cyclic 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_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_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(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)