This is a small package to provide access to the colour palettes
developed by Fabio Crameri and published at
http://www.fabiocrameri.ch/colourmaps.php. It uses more or less the
same api as viridis and
provides scales for ggplot2
without requiring ggplot2 to be installed.
scico can be installed from CRAN with install.packages('scico'). If
you want the development version then install directly from GitHub:
# install.packages("devtools")
devtools::install_github("thomasp85/scico")scico provides 39 different palettes, all of which are perceptually
uniform and colourblind safe. An overview can be had with the
scico_palette_show() function:
library(scico)
scico_palette_show()
Once you’ve decided on a palette you can generate colour values using
the scico() function:
scico(30, palette = 'lapaz')
#> [1] "#190C64" "#1C176B" "#202272" "#212B79" "#243580" "#263D86" "#29478B"
#> [8] "#2C5091" "#2F5996" "#33619A" "#37699D" "#3D71A0" "#4479A1" "#4D81A2"
#> [15] "#5688A4" "#608EA2" "#6B94A1" "#77999F" "#839E9C" "#90A198" "#9BA495"
#> [22] "#A9A895" "#B7AD96" "#C7B59C" "#D7BEA6" "#E5C9B3" "#F0D4C3" "#F7DFD3"
#> [29] "#FCE9E3" "#FEF2F2"scico provides relevant scales for use with ggplot2. It only
suggests ggplot2 in order to stay lightweight, but if ggplot2 is
available you’ll have access to the scale_[colour|fill]_scico()
functions:
library(ggplot2)
volcano <- data.frame(
x = rep(seq_len(ncol(volcano)), each = nrow(volcano)),
y = rep(seq_len(nrow(volcano)), ncol(volcano)),
height = as.vector(volcano)
)
ggplot(volcano, aes(x = x, y = y, fill = height)) +
geom_raster() +
scale_fill_scico(palette = 'davos') 
- Crameri, Fabio. (2018, May 8). Scientific colour maps (Version 3.0.1). Zenodo. doi: 10.5281/zenodo.1243909
- Crameri, Fabio. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev. Discuss. doi: 10.5194/gmd-2017-328
