Title:	Colour Palettes Based on the Scientific Colour-Maps
Version:	1.5.0
Maintainer:	Thomas Lin Pedersen <thomasp85@gmail.com>
Description:	Colour choice in information visualisation is important in order to avoid being mislead by inherent bias in the used colour palette. The 'scico' package provides access to the perceptually uniform and colour-blindness friendly palettes developed by Fabio Crameri and released under the "Scientific Colour-Maps" moniker. The package contains 24 different palettes and includes both diverging and sequential types.
License:	MIT + file LICENSE
Encoding:	UTF-8
Depends:	R (≥ 2.10)
Imports:	scales, grDevices
Suggests:	ggplot2, testthat, dplyr, covr
URL:	https://github.com/thomasp85/scico
BugReports:	https://github.com/thomasp85/scico/issues
RoxygenNote:	7.2.3
NeedsCompilation:	no
Packaged:	2023-08-14 12:51:20 UTC; thomas
Author:	Thomas Lin Pedersen [aut, cre], Fabio Crameri [aut]
Repository:	CRAN
Date/Publication:	2023-08-14 13:10:02 UTC

scico: Colour Palettes Based on the Scientific Colour-Maps

Description

Colour choice in information visualisation is important in order to avoid being mislead by inherent bias in the used colour palette. The 'scico' package provides access to the perceptually uniform and colour-blindness friendly palettes developed by Fabio Crameri and released under the "Scientific Colour-Maps" moniker. The package contains 24 different palettes and includes both diverging and sequential types.

Author(s)

Maintainer: Thomas Lin Pedersen thomasp85@gmail.com (ORCID)

Authors:

• Fabio Crameri

See Also

Useful links:

• https://github.com/thomasp85/scico

• Report bugs at https://github.com/thomasp85/scico/issues

Scales to use for ggplot2

Description

These functions provide the option to use the scico palettes along with the ggplot2 package. It goes without saying that it requires ggplot2 to work.

Usage

scale_colour_scico(
  ...,
  alpha = NULL,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "bilbao",
  midpoint = NA
)

scale_color_scico(
  ...,
  alpha = NULL,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "bilbao",
  midpoint = NA
)

scale_fill_scico(
  ...,
  alpha = NULL,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "bilbao",
  midpoint = NA
)

scale_colour_scico_d(
  ...,
  alpha = 1,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "batlow",
  aesthetics = "colour"
)

scale_color_scico_d(
  ...,
  alpha = 1,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "batlow",
  aesthetics = "colour"
)

scale_fill_scico_d(
  ...,
  alpha = 1,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "batlow",
  aesthetics = "fill"
)

Arguments

Value

A ScaleContinuous or ScaleDiscrete object that can be added to a ggplot object

Examples

if (require('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 = 'tokyo') 
    
  ggplot(iris, aes(x=Petal.Width, y=Petal.Length)) +
    geom_point(aes(color=Species), size=10) + 
    scale_colour_scico_d() 
}

Scientific colour map palettes

Description

This function constructs palettes of the specified size based on the colour maps developed by Fabio Crameri. It follows the same API style as viridis() from the viridisLite package so anyone familiar with this package can easily adapt to that.

Usage

scico(
  n,
  alpha = NULL,
  begin = 0,
  end = 1,
  direction = 1,
  palette = "bilbao",
  categorical = FALSE
)

Arguments

Value

A character vector of length n with hexencoded rgb(a) colour values

References

http://www.fabiocrameri.ch/colourmaps.php

Crameri, Fabio. (2021, September 12). Scientific colour maps (Version 7.0.1). Zenodo. doi:10.5281/zenodo.5501399 Crameri, Fabio. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev. Discuss. doi:10.5194/gmd-2017-328

Examples

# Use the default palette
scico(15)

# Flip the direction
scico(15, direction = -1)

# Take a subset of a palette
scico(15, begin = 0.3, end = 0.6, palette = 'berlin')

Access raw palette data

Description

These functions gives access to the data underlying the palettes

Usage

scico_palette_names(categorical = FALSE)

scico_palette_data(palette, categorical = FALSE)

Arguments

Show the different scico palettes

Description

This is a simple function to show a gradient of the different palettes available in the scico package

Usage

scico_palette_show(
  palettes = scico_palette_names(categorical),
  categorical = FALSE,
  n = if (categorical) 6 else 100
)

Arguments

Examples

scico_palette_show()
scico_palette_show(categorical = TRUE)