NAME

       t.vect.db.select   -  Prints  attributes  of vector maps registered in a space time vector
       dataset.

KEYWORDS

       temporal, attribute table, vector, database, select, time

SYNOPSIS

       t.vect.db.select
       t.vect.db.select --help
       t.vect.db.select     input=name      [columns=name[,name,...]]       [separator=character]
       [layer=string]      [where=sql_query]      [t_where=sql_query]     [--help]    [--verbose]
       [--quiet]  [--ui]

   Flags:
       --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

       columns=name[,name,...]
           Name of attribute column(s)

       separator=character
           Field separator character between the output columns
           Special characters: pipe, comma, space, tab, newline
           Default: pipe

       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

       where=sql_query
           WHERE conditions of SQL statement without ’where’ keyword
           Example: income < 1000 and inhab >= 10000

       t_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’

DESCRIPTION

       The module t.vect.db.select prints attributes of vector maps registered in  a  space  time
       vector dataset.

EXAMPLE

       The example is querying the shoreline space time dataset:
       t.vect.db.select input=shoreline
       start_time|end_time|cat|DESCR|SOURCE|DATE
       1849|1873|1|T-736|NOAA/USGS|01/01/1858
       1849|1873|2|T-657|NOAA/USGS|01/01/1857
       1849|1873|3|T-381(2)|NOAA/USGS|01/01/1852
       1849|1873|4|T-381(1)|NOAA/USGS|01/01/1852
       1849|1873|5|T-381(1)|NOAA/USGS|01/01/1852
       ...
       2009||44|2009 USDA NAIP|2009-07-11|VA, SAND, Wet / Dry
       2009||45|2009 USDA NAIP|2009-07-11|Carolina Beach, SAND, Wet / Dry
       2009||46|2009 USDA NAIP|2009-07-11|Carolina Beach, REVETMENT-ROCK, Hard Structure
       2009||47|2009 USDA NAIP|2009-07-11|Fort Fisher, REVETMENT-ROCK, Hard Structure
       In the following example it print only DATE and SOURCE columns for data before 1900-01-01.
       t.vect.db.select input=shoreline column=DATE,SOURCE t_where="start_time < 1900"
       start_time|end_time|DATE|SOURCE
       1849|1873|01/01/1858|NOAA/USGS
       1849|1873|01/01/1857|NOAA/USGS
       1849|1873|01/01/1852|NOAA/USGS
       1849|1873|01/01/1852|NOAA/USGS
       ...
       1849|1873|01/01/1860|NOAA/USGS
       1849|1873|01/01/1860|NOAA/USGS
       1849|1873|01/01/1873|Coastal Carolina University
       1849|1873|01/01/1873|Coastal Carolina University
       1849|1873|01/01/1873|Coastal Carolina University

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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