t.rast.colorsgrass - Online in the Cloud

PROGRAM:

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, gdd, greens, grey, grey.eq, grey.log,
grey1.0, grey255, gyr, haxby, kelvin, ndvi, ndwi, oranges, population,
population_dens, precipitation, precipitation_daily, precipitation_monthly, rainbow,
ramp, random, reds, rstcurv, ryb, ryg, sepia, slope, srtm, srtm_plus, terrain, wave
aspect: aspect oriented grey colors
aspectcolr: aspect oriented rainbow colors
bcyr: blue through cyan through yellow to red
bgyr: blue through green through yellow to red
blues: white to blue
byg: blue through yellow to green
byr: blue through yellow to red
celsius: blue to red for degree Celsius temperature
corine: EU Corine land cover colors
curvature: for terrain curvatures (from v.surf.rst and r.slope.aspect)
differences: differences oriented colors
elevation: maps relative ranges of raster values to elevation color ramp
etopo2: colors for ETOPO2 worldwide bathymetry/topography
evi: enhanced vegetative index colors
fahrenheit: blue to red for Fahrenheit temperature
gdd: accumulated growing degree days
greens: white to green
grey: grey scale
grey.eq: histogram-equalized grey scale
grey.log: histogram logarithmic transformed grey scale
grey1.0: grey scale for raster values between 0.0-1.0
grey255: grey scale for raster values between 0-255
gyr: green through yellow to red
haxby: relative colors for bathymetry or topography
kelvin: blue to red for temperature in Kelvin scale
ndvi: Normalized Difference Vegetation Index colors
ndwi: Normalized Difference Water Index colors
oranges: white to orange
population: color table covering human population classification breaks
population_dens: color table covering human population density classification breaks
precipitation: precipitation color table (0..2000mm)
precipitation_daily: precipitation color table (0..1000mm)
precipitation_monthly: precipitation color table (0..1000mm)
rainbow: rainbow color table
ramp: color ramp
random: random color table
reds: white to red
rstcurv: terrain curvature (from r.resamp.rst)
ryb: red through yellow to blue
ryg: red through yellow to green
sepia: yellowish-brown through to white
slope: r.slope.aspect-type slope colors for raster values 0-90
srtm: color palette for Shuttle Radar Topography Mission elevation
srtm_plus: color palette for Shuttle Radar Topography Mission elevation (with seafloor
colors)
terrain: global elevation color table covering -11000 to +8850m
wave: color wave

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

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

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