xenial (1) t.vect.extract.1grass.gz

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]   [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 inhab >= 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

       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

       Last changed: $Date: 2015-09-22 10:12:20 +0200 (Tue, 22 Sep 2015) $

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