'CARTOColors' Palettes.

rcartocolor

The goal of rcartocolor is to provide color schemes for maps and other graphics designed by CARTO as described at https://carto.com/carto-colors/.

Installation

Get the released version from CRAN:

install.packages("rcartocolor")

Get the development version from github:

# install.packages("remotes")
remotes::install_github("Nowosad/rcartocolor")

Examples

Display a CARTOcolor palette:

library(rcartocolor)
display_carto_pal(7, "Vivid")

Create a CARTOcolor palette:

my_colors = carto_pal(7, "Burg")
my_colors
#> [1] "#FFC6C4" "#F4A3A8" "#E38191" "#CC607D" "#AD466C" "#8B3058" "#672044"

Display all of the CARTOcolor palettes:

display_carto_all()

Only display colorblind friendly palettes:

display_carto_all(colorblind_friendly = TRUE)

ggplot2

The rcartocolor package contains four ggplot2 color scales: two for continuous data - scale_fill_carto_c, scale_color_carto_c and two for discrete data - scale_fill_carto_d, scale_color_carto_d:

# devtools::install_github("tidyverse/ggplot2")
library(sf)
#> Linking to GEOS 3.11.1, GDAL 3.6.4, PROJ 9.1.1; sf_use_s2() is TRUE
library(spData)
#> To access larger datasets in this package, install the spDataLarge
#> package with: `install.packages('spDataLarge',
#> repos='https://nowosad.github.io/drat/', type='source')`
library(ggplot2)
ggplot(world, aes(fill = lifeExp)) +
        geom_sf(data = world) +
        coord_sf(crs = "+proj=robin") +
        scale_fill_carto_c(name = "Life expectancy: ",
                           type = "diverging", palette = "Earth", direction = -1) +
        theme_void()

ggplot(world, aes(fill = region_un)) +
        geom_sf(data = world) +
        coord_sf(crs = "+proj=robin")  +
        scale_fill_carto_d(name = "Region: ", palette = "Safe") +
        theme_void()

Contributions

Feel free to submit issues and enhancement requests.