Implementation of GRASS color tables. The following fill scales and palettes are provided:
scale_*_grass_d()
: For discrete values.scale_*_grass_c()
: For continuous values.scale_*_grass_b()
: For binning continuous values.grass.colors()
: Gradient color palette. See alsogrDevices::terrain.colors()
for details.
Additional parameters ...
would be passed on to:
Discrete values:
ggplot2::discrete_scale()
.Continuous values:
ggplot2::continuous_scale()
.Binned continuous values:
ggplot2::binned_scale()
.
Note that tidyterra just documents a selection of these additional parameters, check the ggplot2 functions listed above to see the full range of parameters accepted by these scales.
These palettes are an implementation of terra::map.pal()
, that is the
default color palettes provided by terra::plot()
(terra
> 1.7.78
).
Usage
scale_fill_grass_d(
palette = "viridis",
...,
alpha = 1,
direction = 1,
na.translate = FALSE,
drop = TRUE
)
scale_colour_grass_d(
palette = "viridis",
...,
alpha = 1,
direction = 1,
na.translate = FALSE,
drop = TRUE
)
scale_fill_grass_c(
palette = "viridis",
...,
alpha = 1,
direction = 1,
values = NULL,
limits = NULL,
use_grass_range = TRUE,
na.value = "transparent",
guide = "colourbar"
)
scale_colour_grass_c(
palette = "viridis",
...,
alpha = 1,
direction = 1,
values = NULL,
limits = NULL,
use_grass_range = TRUE,
na.value = "transparent",
guide = "colourbar"
)
scale_fill_grass_b(
palette = "viridis",
...,
alpha = 1,
direction = 1,
values = NULL,
limits = NULL,
use_grass_range = TRUE,
na.value = "transparent",
guide = "coloursteps"
)
scale_colour_grass_b(
palette = "viridis",
...,
alpha = 1,
direction = 1,
values = NULL,
limits = NULL,
use_grass_range = TRUE,
na.value = "transparent",
guide = "coloursteps"
)
grass.colors(n, palette = "viridis", alpha = 1, rev = FALSE)
Source
Derived from https://github.com/OSGeo/grass/tree/main/lib/gis/colors. See also r.color - GRASS GIS Manual.
Arguments
- palette
A valid palette name. The name is matched to the list of available palettes, ignoring upper vs. lower case. See grass_db for more info.
- ...
Arguments passed on to
ggplot2::discrete_scale
,ggplot2::continuous_scale
,ggplot2::binned_scale
breaks
One of:
labels
One of:
NULL
for no labelswaiver()
for the default labels computed by the transformation objectA character vector giving labels (must be same length as
breaks
)An expression vector (must be the same length as breaks). See ?plotmath for details.
A function that takes the breaks as input and returns labels as output. Also accepts rlang lambda function notation.
expand
For position scales, a vector of range expansion constants used to add some padding around the data to ensure that they are placed some distance away from the axes. Use the convenience function
expansion()
to generate the values for theexpand
argument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.minor_breaks
One of:
NULL
for no minor breakswaiver()
for the default breaks (one minor break between each major break)A numeric vector of positions
A function that given the limits returns a vector of minor breaks. Also accepts rlang lambda function notation. When the function has two arguments, it will be given the limits and major breaks.
n.breaks
An integer guiding the number of major breaks. The algorithm may choose a slightly different number to ensure nice break labels. Will only have an effect if
breaks = waiver()
. UseNULL
to use the default number of breaks given by the transformation.nice.breaks
Logical. Should breaks be attempted placed at nice values instead of exactly evenly spaced between the limits. If
TRUE
(default) the scale will ask the transformation object to create breaks, and this may result in a different number of breaks than requested. Ignored if breaks are given explicitly.
- alpha
The alpha transparency, a number in [0,1], see argument alpha in
hsv
.- direction
Sets the order of colors in the scale. If 1, the default, colors are ordered from darkest to lightest. If -1, the order of colors is reversed.
- na.translate
Should
NA
values be removed from the legend? Default isTRUE
.- drop
Should unused factor levels be omitted from the scale? The default (
TRUE
) removes unused factors.- values
if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the
colours
vector. Seerescale()
for a convenience function to map an arbitrary range to between 0 and 1.- limits
One of:
NULL
to use the default scale rangeA numeric vector of length two providing limits of the scale. Use
NA
to refer to the existing minimum or maximumA function that accepts the existing (automatic) limits and returns new limits. Also accepts rlang lambda function notation. Note that setting limits on positional scales will remove data outside of the limits. If the purpose is to zoom, use the limit argument in the coordinate system (see
coord_cartesian()
).
- use_grass_range
Logical. Should the scale use the suggested range when plotting? See Details.
- na.value
Missing values will be replaced with this value. By default, tidyterra uses
na.value = "transparent"
so cells withNA
are not filled. See also #120.- guide
A function used to create a guide or its name. See
guides()
for more information.- n
the number of colors (\(\ge 1\)) to be in the palette.
- rev
logical indicating whether the ordering of the colors should be reversed.
Details
Some palettes are mapped by default to a specific range of values (see
grass_db). However, it is possible to modify this behaviour with the
use_grass_range
argument, When FALSE
the color scales would be mapped
to the range of values of the color/fill
aesthethics, See Examples.
terra equivalent
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
grass_db, terra::plot()
,
terra::minmax()
, ggplot2::scale_fill_viridis_c()
.
See also ggplot2 docs on additional ...
parameters:
Other gradient scales and palettes for hypsometry:
scale_color_coltab()
,
scale_cross_blended
,
scale_hypso
,
scale_princess
,
scale_terrain
,
scale_whitebox
Examples
# \donttest{
filepath <- system.file("extdata/volcano2.tif", package = "tidyterra")
library(terra)
volcano2_rast <- rast(filepath)
# Palette
plot(volcano2_rast, col = grass.colors(100, palette = "haxby"))
library(ggplot2)
ggplot() +
geom_spatraster(data = volcano2_rast) +
scale_fill_grass_c(palette = "terrain")
# Use with no default limits
ggplot() +
geom_spatraster(data = volcano2_rast) +
scale_fill_grass_c(palette = "terrain", use_grass_range = FALSE)
# Full map with true tints
f_asia <- system.file("extdata/asia.tif", package = "tidyterra")
asia <- rast(f_asia)
ggplot() +
geom_spatraster(data = asia) +
scale_fill_grass_c(
palette = "srtm_plus",
labels = scales::label_number(),
breaks = c(-10000, 0, 5000, 8000),
guide = guide_colorbar(reverse = FALSE)
) +
labs(fill = "elevation (m)") +
theme(
legend.position = "bottom",
legend.title.position = "top",
legend.key.width = rel(3),
legend.ticks = element_line(colour = "black", linewidth = 0.3),
legend.direction = "horizontal"
)
# Binned
ggplot() +
geom_spatraster(data = volcano2_rast) +
scale_fill_grass_b(breaks = seq(70, 200, 25), palette = "sepia")
# With discrete values
factor <- volcano2_rast %>%
mutate(cats = cut(elevation,
breaks = c(100, 120, 130, 150, 170, 200),
labels = c(
"Very Low", "Low", "Average", "High",
"Very High"
)
))
ggplot() +
geom_spatraster(data = factor, aes(fill = cats)) +
scale_fill_grass_d(palette = "soilmoisture")
# }
# Display all the GRASS palettes
data("grass_db")
pals_all <- unique(grass_db$pal)
# In batches
pals <- pals_all[c(1:25)]
# Helper fun for plotting
ncols <- 128
rowcol <- grDevices::n2mfrow(length(pals))
opar <- par(no.readonly = TRUE)
par(mfrow = rowcol, mar = rep(1, 4))
for (i in pals) {
image(
x = seq(1, ncols), y = 1, z = as.matrix(seq(1, ncols)),
col = grass.colors(ncols, i), main = i,
ylab = "", xaxt = "n", yaxt = "n", bty = "n"
)
}
par(opar)
# Second batch
pals <- pals_all[-c(1:25)]
ncols <- 128
rowcol <- grDevices::n2mfrow(length(pals))
opar <- par(no.readonly = TRUE)
par(mfrow = rowcol, mar = rep(1, 4))
for (i in pals) {
image(
x = seq(1, ncols), y = 1, z = as.matrix(seq(1, ncols)),
col = grass.colors(ncols, i), main = i,
ylab = "", xaxt = "n", yaxt = "n", bty = "n"
)
}
par(opar)