Provided by: grass-doc_8.3.0-1_all
NAME
t.vect.extract - Extracts a subset of a space time vector dataset.
KEYWORDS
temporal, extract, vector, time
SYNOPSIS
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] Flags: -n Register empty 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 vector 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=sql_query WHERE conditions of SQL statement without ’where’ keyword Example: income < 1000 and population >= 10000 output=name [required] Name of the output space time vector dataset layer=string 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: 1 type=string[,string,...] Input feature type Options: point, line, boundary, centroid, area Default: point,line,boundary,centroid,area 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 The number of v.extract processes to run in parallel. Use only if database backend is used which supports concurrent writing Default: 1
DESCRIPTION
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.
EXAMPLE
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
SEE ALSO
t.create, t.info
AUTHOR
Sören Gebbert, Thünen Institute of Climate-Smart Agriculture
SOURCE CODE
Available at: t.vect.extract source code (history) Accessed: Tuesday Jun 27 11:14:36 2023 Main index | Temporal index | Topics index | Keywords index | Graphical index | Full index © 2003-2023 GRASS Development Team, GRASS GIS 8.3.0 Reference Manual