grass_db {tidyterra}

GRASS color tables

Description

A tibble including the color map of 51 gradient palettes. Some palettes includes also a definition of colors limits that can be used with ggplot2::scale_fill_gradientn().

Format

A tibble of 2920 rows and 6 columns. with the following fields:

pal

Name of the palette.

limit

(Optional) limit for each color.

r

Value of the red channel (RGB color mode).

g

Value of the green channel (RGB color mode).

b

Value of the blue channel (RGB color mode).

hex

Hex code of the color.

Details

Summary of palettes provided, description and recommended use:

palette	use	description	range
aspect	General	aspect oriented grey colors
aspectcolr	General	aspect oriented rainbow colors	0 to 360
bcyr	General	blue through cyan through yellow to red
bgyr	General	blue through green through yellow to red
blues	General	white to blue
byg	General	blue through yellow to green
byr	General	blue through yellow to red
celsius	General	blue to red for degree Celsius temperature	-80 to 80
corine	Land Cover	EU Corine land cover colors	111 to 995
curvature	General	for terrain curvatures	-0.1 to 0.1
differences	General	differences oriented colors
elevation	Topography	maps relative ranges of raster values to elevation color ramp
etopo2	Topography	colors for ETOPO2 worldwide bathymetry/topography	-11000 to 8850
evi	Natural	enhanced vegetative index colors	-1 to 1
fahrenheit	Temperature	blue to red for Fahrenheit temperature	-112 to 176
forest_cover	Natural	percentage of forest cover	0 to 1
gdd	Natural	accumulated growing degree days	0 to 6000
grass	General	GRASS GIS green (perceptually uniform)
greens	General	white to green
grey	General	grey scale
gyr	General	green through yellow to red
haxby	Topography	relative colors for bathymetry or topography
inferno	General	perceptually uniform sequential color table inferno
kelvin	Temperature	blue to red for temperature in Kelvin scale	193.15 to 353.15
magma	General	perceptually uniform sequential color table magma
ndvi	Natural	Normalized Difference Vegetation Index colors	-1 to 1
ndwi	Natural	Normalized Difference Water Index colors	-200 to 200
nlcd	Land Cover	US National Land Cover Dataset colors	0 to 95
oranges	General	white to orange
plasma	General	perceptually uniform sequential color table plasma
population	Human	color table covering human population classification breaks	0 to 1000000
population_dens	Human	color table covering human population density classification breaks	0 to 1000
precipitation	Climate	precipitation color table (0..2000mm)	0 to 7000
precipitation_daily	Climate	precipitation color table (0..1000mm)	0 to 100
precipitation_monthly	Climate	precipitation color table (0..1000mm)	0 to 1000
rainbow	General	rainbow color table
ramp	General	color ramp
reds	General	white to red
roygbiv	General
rstcurv	General	terrain curvature (from r.resamp.rst)	-0.1 to 0.1
ryb	General	red through yellow to blue
ryg	General	red through yellow to green
sepia	General	yellowish-brown through to white
slope	General	r.slope.aspect-type slope colors for raster values 0-90	0 to 90
soilmoisture	Natural	soil moisture color table (0.0-1.0)	0 to 1
srtm	Topography	color palette for Shuttle Radar Topography Mission elevation	-11000 to 8850
srtm_plus	Topography	color palette for Shuttle Radar Topography Mission elevation (with seafloor colors)	-11000 to 8850
terrain	Topography	global elevation color table covering -11000 to +8850m	-11000 to 8850
viridis	General	perceptually uniform sequential color table viridis
water	Natural	water depth
wave	General	color wave

terra equivalent

terra::map.pal()

Source

Derived from https://github.com/OSGeo/grass/tree/main/lib/gis/colors. See also r.color - GRASS GIS Manual.

References

GRASS Development Team (2024). Geographic Resources Analysis Support System (GRASS) Software, Version 8.3.2. Open Source Geospatial Foundation, USA. https://grass.osgeo.org.

See Also

scale_fill_grass_c()

Other datasets: cross_blended_hypsometric_tints_db, hypsometric_tints_db, princess_db, volcano2

Examples

data("grass_db")

grass_db
# Select a palette

srtm_plus <- grass_db %>%
  filter(pal == "srtm_plus")

f <- system.file("extdata/asia.tif", package = "tidyterra")
r <- terra::rast(f)

library(ggplot2)

p <- ggplot() +
  geom_spatraster(data = r) +
  labs(fill = "elevation")

p +
  scale_fill_gradientn(colors = srtm_plus$hex)

# Use with limits
p +
  scale_fill_gradientn(
    colors = srtm_plus$hex,
    values = scales::rescale(srtm_plus$limit),
    limit = range(srtm_plus$limit),
    na.value = "lightblue"
  )