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NAME

t.rast.colors - Creates/modifies the color table associated with each raster map of the space time raster dataset.

KEYWORDS

temporal, color table, raster, time

SYNOPSIS

t.rast.colors
t.rast.colors --help
t.rast.colors [-rwlngae] input=name [color=style] [raster=name] [raster_3d=name] [rules=name] [--help] [--verbose] [--quiet] [--ui]

Flags:

-r
Remove existing color table
-w
Only write new color table if it does not already exist
-l
List available rules then exit
-n
Invert colors
-g
Logarithmic scaling
-a
Logarithmic-absolute scaling
-e
Histogram equalization
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters:

input=name [required]
Name of the input space time raster dataset
color=style
Name of color table (see r.color help)
Options: aspect, aspectcolr, bcyr, bgyr, blues, byg, byr, celsius, corine, curvature, differences, elevation, etopo2, evi, fahrenheit, forest_cover, gdd, grass, greens, grey, grey.eq, grey.log, grey1.0, grey255, gyr, haxby, inferno, kelvin, magma, ndvi, ndwi, nlcd, oranges, plasma, population, population_dens, precipitation, precipitation_daily, precipitation_monthly, rainbow, ramp, random, reds, roygbiv, rstcurv, ryb, ryg, sepia, slope, soilmoisture, srtm, srtm_percent, srtm_plus, terrain, viridis, water, wave
aspect aspect: aspect oriented grey colors [range: map values]
aspectcolr aspectcolr: aspect oriented rainbow colors [range: 0 to 360]
bcyr bcyr: blue through cyan through yellow to red [range: map values]
bgyr bgyr: blue through green through yellow to red [range: map values]
blues blues: white to blue [range: map values]
byg byg: blue through yellow to green [range: map values]
byr byr: blue through yellow to red [range: map values]
celsius celsius: blue to red for degree Celsius temperature [range: -80 to 80]
corine corine: EU Corine land cover colors [range: 111 to 995]
curvature curvature: for terrain curvatures (from v.surf.rst and r.slope.aspect) [range: map values]
differences differences: differences oriented colors [range: map values]
elevation elevation: maps relative ranges of raster values to elevation color ramp [range: map values]
etopo2 etopo2: colors for ETOPO2 worldwide bathymetry/topography [range: -11000 to 8850]
evi evi: enhanced vegetative index colors [range: -1 to 1]
fahrenheit fahrenheit: blue to red for Fahrenheit temperature [range: -112 to 176]
forest_cover forest_cover: percentage of forest cover [range: 0 to 100]
gdd gdd: accumulated growing degree days [range: 0 to 6000]
grass grass: GRASS GIS green (perceptually uniform) [range: map values]
greens greens: white to green [range: map values]
grey grey: grey scale [range: map values]
grey.eq grey.eq: histogram-equalized grey scale [range: map values]
grey.log grey.log: histogram logarithmic transformed grey scale [range: map values]
grey1.0 grey1.0: grey scale for raster values between 0.0-1.0 [range: 0 to 1]
grey255 grey255: grey scale for raster values between 0-255 [range: 0 to 255]
gyr gyr: green through yellow to red [range: map values]
haxby haxby: relative colors for bathymetry or topography [range: map values]
inferno inferno: perceptually uniform sequential color table inferno [range: map values]
kelvin kelvin: blue to red for temperature in Kelvin scale [range: 193.15 to 353.15]
magma magma: perceptually uniform sequential color table magma [range: map values]
ndvi ndvi: Normalized Difference Vegetation Index colors [range: -1 to 1]
ndwi ndwi: Normalized Difference Water Index colors [range: -200 to 200]
nlcd nlcd: US National Land Cover Dataset colors [range: 0 to 95]
oranges oranges: white to orange [range: map values]
plasma plasma: perceptually uniform sequential color table plasma [range: map values]
population population: color table covering human population classification breaks [range: 0 to 2e+09]
population_dens population_dens: color table covering human population density classification breaks [range: 0 to 1e+09]
precipitation precipitation: precipitation color table (0..2000mm) [range: 0 to 7000]
precipitation_daily precipitation_daily: precipitation color table (0..1000mm) [range: 0 to 10000]
precipitation_monthly precipitation_monthly: precipitation color table (0..1000mm) [range: 0 to 1000]
rainbow rainbow: rainbow color table [range: map values]
ramp ramp: color ramp [range: map values]
random random: random color table [range: map values]
reds reds: white to red [range: map values]
roygbiv roygbiv: [range: map values]
rstcurv rstcurv: terrain curvature (from r.resamp.rst) [range: map values]
ryb ryb: red through yellow to blue [range: map values]
ryg ryg: red through yellow to green [range: map values]
sepia sepia: yellowish-brown through to white [range: map values]
slope slope: r.slope.aspect-type slope colors for raster values 0-90 [range: 0 to 90]
soilmoisture soilmoisture: soilmoisture color table (0.0-1.0) [range: 0 to 1]
srtm srtm: color palette for Shuttle Radar Topography Mission elevation [range: -11000 to 8850]
srtm_percent srtm_percent: color palette for Shuttle Radar Topography Mission using relative elevation [range: map values]
srtm_plus srtm_plus: color palette for Shuttle Radar Topography Mission elevation (with seafloor colors) [range: -11000 to 8850]
terrain terrain: global elevation color table covering -11000 to +8850m [range: -11000 to 8850]
viridis viridis: perceptually uniform sequential color table viridis [range: map values]
water water: water depth [range: map values]
wave wave: color wave [range: map values]
raster=name
Raster map from which to copy color table
raster_3d=name
3D raster map from which to copy color table
rules=name
Path to rules file

Table of contents

DESCRIPTION

t.rast.colors computes a color table based on all registered maps of a space time raster dataset and to assign this color table to each map. Hence the created color table reflects the data range of the space time raster dataset. This module is a simple wrapper around r.colors. All options of r.colors are supported. Internally a file with map names is created and passed to the file option of r.colors.

Please have a look at the r.colors manual page for further information.

EXAMPLE

Set Celsius color table to monthly dataset 
t.rast.colors input=tempmean_monthly color=celsius

r.colors.out map=2009_01_tempmean

-80 0:0:40
-40 91:10:168
-30 220:220:220
-25 91:50:128
-20 50:0:150
-15 4:25:130
-10 8:54:106
-8 4:20:150
-5 0:50:255
-2 8:10:118
-0.061449 8:113:155
0.013855 8:118:157
0.090594 8:123:158
0.168767 8:128:159
0.248375 8:133:159
0.329417 8:136:160
...
40.6976 183:163:163
41.0483 185:167:167
41.4004 188:170:171
41.754 190:174:174
42.109 191:178:178
42.4655 193:182:182
42.8233 195:185:185
43.1827 197:189:189
43.5434 199:192:193
43.9056 200:197:197
44.2692 202:200:201
44.6342 204:204:204
45.0007 206:206:206
80 155:10:155
nv 255:255:255
default 255:255:255

SEE ALSO

r.colors

AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

Available at: t.rast.colors source code (history)

Latest change: Thursday Jul 04 18:40:36 2024 in commit: d880ec0a6d88ce64a10f18c7d3e8701bf8e8972f

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