
Fabio Crameri's Sequential Colour Schemes for ggplot2 and ggraph
Source:R/scale_colour_crameri.R
scale_crameri_sequential.Rd
Provides sequential colour scales from Fabio Crameri's Scientific colour.
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 colours be reversed?- range
A length-two
numeric
vector specifying the fraction of the scheme's colour domain to keep.- aesthetics
A
character
string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.- discrete
A
logical
scalar: should the colour scheme be used as a discrete scale?
Value
A continuous scale.
Details
Available schemes:
batlow
batlowW
batlowK
devon
lajolla
bamako
davos
bilbao
nuuk
oslo
grayC
hawaii
lapaz
tokyo
buda
acton
turku
imola
Interpolation
If more colours than defined are needed from a given scheme, the colour coordinates are linearly interpolated to provide a continuous version of the scheme.
Note that the default colour 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
See also
Other colour-blind safe colour schemes:
scale_crameri_cyclic
,
scale_crameri_diverging
,
scale_crameri_mutlisequential
,
scale_okabeito_discrete
,
scale_tol_discrete
,
scale_tol_diverging
,
scale_tol_sequential
Examples
data(faithfuld, package = "ggplot2")
ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +
scale_fill_batlow()
ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +
scale_fill_bamako()
ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
ggplot2::geom_raster() +
scale_fill_hawaii(reverse = TRUE)