NAME
t.rast.extract - Extracts a subset of a space time raster datasets.KEYWORDS
temporal, extract, raster, timeSYNOPSIS
t.rast.extract
t.rast.extract --helpt.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
Table of contents
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
SEE ALSO
t.create, t.infoAUTHOR
Sören Gebbert, Thünen Institute of Climate-Smart AgricultureSOURCE CODE
Available at: t.rast.extract source code (history)
Latest change: Tuesday Dec 17 20:17:20 2024 in commit: ab90c5e5a9b668894da360fa97ffd4a51a38931e
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