t.rast.extract - GRASS GIS manual

NAME

t.rast.extract - Extracts a subset of a space time raster datasets.

KEYWORDS

SYNOPSIS

t.rast.extract

t.rast.extract --help

t.rast.extract [-n] input=name [where=sql_query] [expression=string] output=name [basename=string] [suffix=string] [nprocs=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-n: Register Null maps
--overwrite: Allow output files to overwrite existing files
--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
where=sql_query: WHERE conditions of SQL statement without 'where' keyword used in the temporal GIS framework; Example: start_time > '2001-01-01 12:30:00'
expression=string: r.mapcalc expression assigned to all extracted raster maps
output=name [required]: Name of the output space time raster dataset
basename=string: Basename of the new generated output maps; A numerical suffix separated by an underscore will be attached to create a unique identifier
suffix=string: Suffix to add at basename: set 'gran' for granularity, 'time' for the full time format, 'num' for numerical suffix with a specific number of digits (default %05); Default: gran
nprocs=integer: Number of r.mapcalc processes to run in parallel; Default: 1

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHOR

DESCRIPTION

The purpose of t.rast.extract is to extract a subset of a space time raster dataset and to store that subset in a different space time raster dataset. The where condition is used to select the subset. In addition a r.mapcalc sub-expression can be specified that performs operations on all maps of the selected subset. In this expression the name of the input space time raster dataset can be used as simple map name. Other STRDS than the input STRDS can not be specified, but any raster map. In case a r.mapcalc sub-expression is defined, the base name of the resulting raster maps must be specified. The r.mapcalc expression can be used to select maps as well, since by default resulting empty maps are not registered in the output space time raster dataset and removed after processing. The number of parallel GRASS GIS processes can be specified to speed up the processing.

If no r.mapcalc expression is defined, the selected maps are simply registered in the new created output space time raster dataset to avoid data duplication.

NOTES

The r.mapcalc sub-expression should not contain the left side "map =" of a full r.mapcalc expression, only the right side, eg.:

t.rast.extract input=tempmean_monthly where="start_time > '2010-01-05'" \
               output=selected_tempmean_monthly basename=new_tmean_month \
               expression="if(tempmean_monthly < 0, null(), tempmean_monthly)"

EXAMPLE

t.rast.extract input=tempmean_monthly output=tempmean_monthly_later_2012 \
               where="start_time >= '2012-01-01'"

t.rast.list tempmean_monthly_later_2012
name|mapset|start_time|end_time
2012_01_tempmean|climate_2000_2012|2012-01-01 00:00:00|2012-02-01 00:00:00
2012_02_tempmean|climate_2000_2012|2012-02-01 00:00:00|2012-03-01 00:00:00
2012_03_tempmean|climate_2000_2012|2012-03-01 00:00:00|2012-04-01 00:00:00
2012_04_tempmean|climate_2000_2012|2012-04-01 00:00:00|2012-05-01 00:00:00
2012_05_tempmean|climate_2000_2012|2012-05-01 00:00:00|2012-06-01 00:00:00
2012_06_tempmean|climate_2000_2012|2012-06-01 00:00:00|2012-07-01 00:00:00
2012_07_tempmean|climate_2000_2012|2012-07-01 00:00:00|2012-08-01 00:00:00
2012_08_tempmean|climate_2000_2012|2012-08-01 00:00:00|2012-09-01 00:00:00
2012_09_tempmean|climate_2000_2012|2012-09-01 00:00:00|2012-10-01 00:00:00
2012_10_tempmean|climate_2000_2012|2012-10-01 00:00:00|2012-11-01 00:00:00
2012_11_tempmean|climate_2000_2012|2012-11-01 00:00:00|2012-12-01 00:00:00
2012_12_tempmean|climate_2000_2012|2012-12-01 00:00:00|2013-01-01 00:00:00

AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

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

Latest change: Monday Nov 18 20:15:32 2019 in commit: 1a1d107e4f6e1b846f9841c2c6fabf015c5f720d