tidyterra (version 1.3.0)

grass_db: GRASS color tables

Description

A tibble including the color map of 51 gradient palettes. Some palettes also include a definition of color 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.

<a href="https://CRAN.R-project.org/package=terra"><span class="pkg">terra</span></a> equivalent

terra::map.pal().

Details

Summary of palettes provided, description and recommended use:

palette	use	description	range
aspect	General	Aspect-oriented gray colors
aspectcolr	General	Aspect-oriented rainbow colors	0 to 360
bcyr	General	Blue through cyan and yellow to red
bgyr	General	Blue through green and 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 Celsius temperatures	-80 to 80
corine	Land cover	EU Corine land cover colors	111 to 995
curvature	General	Terrain curvature colors	-0.1 to 0.1
differences	General	Difference-oriented colors
elevation	Topography	Relative raster values mapped to elevation colors
etopo2	Topography	ETOPO2 worldwide bathymetry and topography colors	-11000 to 8850
evi	Natural	Enhanced Vegetation Index colors	-1 to 1
fahrenheit	Temperature	Blue to red for Fahrenheit temperatures	-112 to 176
forest_cover	Natural	Percentage of forest cover	0 to 1
gdd	Natural	Accumulated growing degree days	0 to 6000
grass	General	Perceptually uniform GRASS GIS green
greens	General	White to green
grey	General	Grayscale
gyr	General	Green through yellow to red
haxby	Topography	Relative colors for bathymetry or topography
inferno	General	Inferno perceptually uniform sequential color table
kelvin	Temperature	Blue to red for temperatures in Kelvin	193.15 to 353.15
magma	General	Magma perceptually uniform sequential color table
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	Plasma perceptually uniform sequential color table
population	Human	Human population classification breaks	0 to 1000000
population_dens	Human	Human population density classification breaks	0 to 1000
precipitation	Climate	Precipitation color table, 0 to 2000 mm	0 to 7000
precipitation_daily	Climate	Daily precipitation color table, 0 to 1000 mm	0 to 100
precipitation_monthly	Climate	Monthly precipitation color table, 0 to 1000 mm	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 to white
slope	General	r.slope.aspect-style slope colors for raster values from 0 to 90	0 to 90
soilmoisture	Natural	Soil moisture color table, 0.0 to 1.0	0 to 1
srtm	Topography	Shuttle Radar Topography Mission elevation colors	-11000 to 8850
srtm_plus	Topography	Shuttle Radar Topography Mission elevation colors with seafloor colors	-11000 to 8850
terrain	Topography	Global elevation color table from -11000 to +8850 m	-11000 to 8850
viridis	General	Viridis perceptually uniform sequential color table
water	Natural	Water depth
wave	General	Color wave

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

# \donttest{
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"
  )
# }