t.vect.extract(1)
π t.vect.extract π
okay bestie, this is a page from the GRASS GIS User's Manual β manual page t.vect.extract(1) β and it's literally about snatching a lil subset out of a space time vector dataset. yes. that. let's get into it π¦
β¨ NAME β¨
t.vect.extract β Extracts a subset of a space time vector dataset.
no cap, that's the whole vibe.
π KEYWORDS π
temporal, extract, vector, time
πΈ SYNOPSIS πΈ
t.vect.extract
t.vect.extract --help
t.vect.extract [-n] input=name [where=sql_query]
[expression=sql_query] output=name [layer=string]
[type=string[,string,...]] [basename=string] [suffix=string]
[nprocs=integer] [--overwrite] [--help] [--verbose] [--quiet]
[--ui]
π© Flags π©
-nβ Register empty maps. yes, empty. it's giving minimalist π--overwriteβ Allow output files to overwrite existing files. (so it can just barge in, respectfully)--helpβ Print usage summary.--verboseβ Verbose module output. it will tell you everything π--quietβ Quiet module output. shhh π€«--uiβ Force launching GUI dialog.
π§Έ Parameters π§Έ
input=name[required]β Name of the input space time vector dataset.where=sql_queryβ WHERE conditions of SQL statement without 'where' keyword used in the temporal GIS framework. Example:start_time > '2001-01-01 12:30:00'expression=sql_queryβ WHERE conditions of SQL statement without 'where' keyword. Example:income < 1000 and population >= 10000output=name[required]β Name of the output space time vector dataset.layer=stringβ Layer number or name. Vector features can have category values in different layers. This number determines which layer to use. When used with direct OGR access this is the layer name. Default:1type=string[,string,...]β Input feature type. Options:point,line,boundary,centroid,areaDefault:point,line,boundary,centroid,areabasename=stringβ Basename of the new generated output maps. A numerical suffix separated by an underscore will be attached to create a unique identifier.suffix=stringβ 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:grannprocs=integerβ The number ofv.extractprocesses to run in parallel. Use only if database backend is used which supports concurrent writing. Default:1
π DESCRIPTION π
The purpose of t.vect.extract is to extract a subset of a space time vector dataset and to store that subset in a different space time vector dataset.
that's it. that's the whole job. iconic behavior fr fr.
π₯ EXAMPLE π₯
In the following example a new space time vector dataset will be create with all the data later than the year 2000:
t.vect.extract input=shoreline where="start_time > 2000" \
output=shoreline_later_2000 basename=new_shoreline
t.info shoreline_later_2000@shoreline type=stvds
+-------------------- Space Time Vector Dataset -----------------------------+
| |
+-------------------- Basic information -------------------------------------+
| Id: ........................ shoreline_later_2000@shoreline
| Name: ...................... shoreline_later_2000
| Mapset: .................... shoreline
| Creator: ................... lucadelu
| Temporal type: ............. relative
| Creation time: ............. 2014-11-29 08:43:50.043219
| Modification time:.......... 2014-11-29 08:43:50.085407
| Semantic type:.............. mean
+-------------------- Relative time -----------------------------------------+
| Start time:................. 2003
| End time:................... 2009
| Relative time unit:......... years
| Granularity:................ 1
| Temporal type of maps:...... point
+-------------------- Spatial extent ----------------------------------------+
| North:...................... 1039175.31479
| South:...................... 34705.216018
| East:.. .................... 3052322.44671
| West:....................... 2130004.16779
| Top:........................ 0.0
| Bottom:..................... 0.0
+-------------------- Metadata information ----------------------------------+
| Vector register table:...... vector_map_register_8395740fc8de42149fef74a3d25bbb05
| Number of points ........... 0
| Number of lines ............ 407
| Number of boundaries ....... 0
| Number of centroids ........ 0
| Number of faces ............ 0
| Number of kernels .......... 0
| Number of primitives ....... 407
| Number of nodes ............ 767
| Number of areas ............ 0
| Number of islands .......... 0
| Number of holes ............ 0
| Number of volumes .......... 0
| Number of registered maps:.. 3
|
| Title:
| North Carolina shoreline
| Description:
| North Caroline shoreline from 2000 to 2009
| Command history:
| # 2014-11-29 08:43:50
| t.vect.extract input="shoreline"
| where="start_time > 2000" output="shoreline_later_2000"
| basename="new_shoreline"
| # 2014-11-29 08:44:14
| t.support type="stvds"
| input="shoreline_later_2000@shoreline"
| descr="North Caroline shoreline from 2000 to 2009"
+----------------------------------------------------------------------------+
t.vect.list shoreline_later_2000
name|layer|mapset|start_time|end_time
shoreline_2003|None|shoreline|2003|None
shoreline_2004|None|shoreline|2004|None
shoreline_2009|None|shoreline|2009|None
the way that output just listed itself... obsessed. β¨
π SEE ALSO π
t.create, t.info
π«Ά AUTHOR π«Ά
SΓΆren Gebbert, ThΓΌnen Institute of Climate-Smart Agriculture
π SOURCE CODE π
Available at: t.vect.extract source code (history)
Accessed: Saturday Jan 17 05:41:54 2026
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and that's the whole page bestie π Β© 2003-2025 GRASS Development Team, GRASS GIS 8.4.2 Reference Manual β this lil love letter came to you from GRASS 8.4.2 and lives at t.vect.extract(1). go extract something, you main character π
β¨
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