t.vect.extract(1grass) | Grass User's Manual | t.vect.extract(1grass) |
t.vect.extract - Extracts a subset of a space time vector dataset.
temporal, extract, vector, time
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]
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.
In the following example a new space time vector dataset will be
create with all the data later than 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
t.create, t.info
Sören Gebbert, Thünen Institute of Climate-Smart Agriculture
Last changed: $Date: 2015-09-22 10:10:38 +0200 (Tue, 22 Sep 2015) $
Available at: t.vect.extract source code (history)
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