t.rast.extractgrass - Online in the Cloud

PROGRAM:

NAME

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

KEYWORDS

temporal, extract, raster, time

SYNOPSIS

t.rast.extract
t.rast.extract --help
t.rast.extract [-n] input=name [where=sql_query] [expression=string] output=name
[basename=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

nprocs=integer
Number of r.mapcalc processes to run in parallel
Default: 1

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

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