Jamie R. Nuñez, Christopher R. Anderton, and Ryan S. Renslow recently introduced optimized color maps for the scientific community. This so-called "cividis" colormap is generated by optimizing the "viridis" colormap and is optimal for viewing by those with or without color vision deficiency (CVD), a different visual perception of colors that affects 8.5% of the human population. It is designed to be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white, and can be perceived by readers with all forms of color blindness. The cividis colormap was developed as a Python module called "cmaputil".
Because of the high interest of the scientific community in R, we make this new colormap available for R!
This is how it looks like:
... and like this in action (coloring neutral landscape models from NLMR):
To install the developmental version of cividis, use the following R code:
# install.packages("devtools")
devtools::install_github("marcosci/cividis")This is a basic example which shows you how to solve a common problem:
## basic example code
# load packages
library(NLMR)
library(rasterVis)
library(cividis)
# simulate NLM
x <- nlm_random(ncol = 100,
nrow = 100)
# plot it
gplot(x) +
geom_tile(aes(fill = value)) +
labs(x = "Easting",
y = "Northing") +
theme_nlm() +
scale_fill_cividis(
na.value = "transparent",
name = "",
guide = ggplot2::guide_colorbar(
barheight = ggplot2::unit(40, units = "mm"),
barwidth = ggplot2::unit(1, units = "mm"),
draw.ulim = FALSE,
title.hjust = 0.5,
title.vjust = 1.5,
label.hjust = 0.5
)) -> p1
#> Scale for 'fill' is already present. Adding another scale for 'fill',
#> which will replace the existing scale.Marco Sciaini - [@msciain](https://twitter.com/msciain) - sciaini.marco@gmail.com
Marco Sciaini - [@msciain](https://twitter.com/msciain) - sciaini.marco@gmail.com Cédric Scherer - [@CedScherer](https://twitter.com/CedScherer) - cedricphilippscherer@gmail.com
The colormap in the cividis package was created and published by Jamie R. Nuñez and her colleagues.
The package is mainly a cheeky copy of the beautiful viridis package for R that was created by Simon Garnier, Noam Ross, and Bob Rudis.