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NAME

       t.rast.list  - Lists registered maps of a space time raster dataset.

KEYWORDS

       temporal, map management, raster, list, time

SYNOPSIS

       t.rast.list
       t.rast.list --help
       t.rast.list  [-u]  input=name  [order=string[,string,...]]   [columns=string[,string,...]]
       [where=sql_query]       [method=string]       [granule=string]       [separator=character]
       [output=name]   [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -u
           Suppress printing of column names

       --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 raster dataset

       order=string[,string,...]
           Sort the space time dataset by category
           Options:   id,   name,  creator,  mapset,  temporal_type,  creation_time,  start_time,
           end_time, north, south, west, east, nsres, ewres, cols,  rows,  number_of_cells,  min,
           max
           Default: start_time

       columns=string[,string,...]
           Columns to be printed to stdout
           Options:   id,   name,  creator,  mapset,  temporal_type,  creation_time,  start_time,
           end_time, north, south, west, east, nsres, ewres, cols,  rows,  number_of_cells,  min,
           max
           Default: name,mapset,start_time,end_time

       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’

       method=string
           Method used for data listing
           Options: cols, comma, delta, deltagaps, gran
           Default: cols

       granule=string
           The granule to be used for listing. The granule  must  be  specified  as  string  eg.:
           absolute time "1 months" or relative time "1"

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

       output=name
           Name for output file

DESCRIPTION

       List  time  stamped  raster map layers that are registered in a space time raster dataset.
       t.rast.list provides several options to list map layers and their metadata. Listing of map
       layer  can  be  ordered  by  metadata,  metadata  columns  can  be specified and SQL where
       conditions can be provided to select a map layer subset of the  input  space  time  raster
       dataset.  Most  of  the  raster  map   specific metadat is available for column selection,
       sorting and SQL where statements.  Using the method option  allows  the  specification  of
       different  methods  to  list map layers. Method col is the default option and sensitive to
       the column,order and where options.  It will simply print user specified metadata  columns
       of  one  map  layer  per line. The comma method will list the map layer as comma separated
       list that can be used as input for spatial modules.

       To print interval length in days and distance from the  begin  use  method  delta.  Method
       deltagap  will  additionally print temporal gaps between map layer. The gran method allows
       the listing of map layer sampled by a user defined granule. As default the granularity  of
       the  space  time  raster dataset is used for sampling.  The output column separator can be
       specified with the separator option.

EXAMPLES

       This example shows several options that are available for map layers listing.

   Default query
       The following command is the  default  one,  returning  standard  information  like  name,
       mapset, start_time, end_time of each map in the space time dataset

       t.rast.list tempmean_monthly
       name|mapset|start_time|end_time
       2009_01_tempmean|climate_2000_2012|2009-01-01 00:00:00|2009-02-01 00:00:00
       2009_02_tempmean|climate_2000_2012|2009-02-01 00:00:00|2009-03-01 00:00:00
       ....
       2012_11_tempmean|climate_2000_2012|2012-11-01 00:00:00|2012-12-01 00:00:00
       2012_12_tempmean|climate_2000_2012|2012-12-01 00:00:00|2013-01-01 00:00:00

   Add more info
       The following command let the user to choose the columns to show

       t.rast.list tempmean_monthly columns=name,start_time,min,max
       name|start_time|min|max
       2009_01_tempmean|2009-01-01 00:00:00|-3.380823|7.426054
       2009_02_tempmean|2009-02-01 00:00:00|-1.820261|8.006386
       ...
       2009_01_tempmean|2009-01-01 00:00:00|-3.380823|7.426054
       2009_02_tempmean|2009-02-01 00:00:00|-1.820261|8.006386

   Filtering the result by value
       In this example the result is filtered showing only the maps with max value major than 24

       t.rast.list tempmean_monthly columns=name,start_time,min,max where="max > 24"
       name|start_time|min|max
       2009_06_tempmean|2009-06-01 00:00:00|15.962669|25.819681
       2009_07_tempmean|2009-07-01 00:00:00|15.32852|26.103664
       2009_08_tempmean|2009-08-01 00:00:00|16.37995|27.293282
       ....
       2012_06_tempmean|2012-06-01 00:00:00|14.929379|24.000651
       2012_07_tempmean|2012-07-01 00:00:00|18.455802|28.794653
       2012_08_tempmean|2012-08-01 00:00:00|15.718526|26.151115

   Filtering the result by time range
       In  this  example the result is filtered showing only the maps which fall into a specified
       time range (from .. to):

       t.rast.list tempmean_monthly columns=name,start_time,min,max \
         where="start_time > ’2009-06-01 00:00:00’ and start_time < ’2012-08-01 00:00:00’"
       name|start_time|min|max
       2009_06_tempmean|2009-06-01 00:00:00|15.962669|25.819681
       2009_07_tempmean|2009-07-01 00:00:00|15.32852|26.103664
       2009_08_tempmean|2009-08-01 00:00:00|16.37995|27.293282
       ....
       2012_06_tempmean|2012-06-01 00:00:00|14.929379|24.000651
       2012_07_tempmean|2012-07-01 00:00:00|18.455802|28.794653
       2012_08_tempmean|2012-08-01 00:00:00|15.718526|26.151115

   Filtering the result by selecting recurring timestamps
       In this example the result is filtered showing only the maps which fall into  a  specified
       recurring time range (here one month per year):
       t.rast.list Tseasonal_fieldata_garda where="strftime(’%m’, start_time)=’06’"

   Using method option
       Method  option is able to show raster in different way. By default cols value is used, the
       value comma will print only the list of maps inside the space time dataset:

       t.rast.list method=comma input=tempmean_monthly
       2009_01_tempmean@climate_2009_2012,2009_02_tempmean@climate_2009_2012,2009_03_tempmean@climate_2009_2012, \
       2009_04_tempmean@climate_2009_2012,2009_05_tempmean@climate_2009_2012,2009_06_tempmean@climate_2009_2012, \
       2009_07_tempmean@climate_2009_2012,2009_08_tempmean@climate_2009_2012,2009_09_tempmean@climate_2009_2012, \
       2009_10_tempmean@climate_2009_2012,2009_11_tempmean@climate_2009_2012,2009_12_tempmean@climate_2009_2012, \
       2010_01_tempmean@climate_2009_2012,2010_02_tempmean@climate_2009_2012,2010_03_tempmean@climate_2009_2012, \
       2010_04_tempmean@climate_2009_2012,2010_05_tempmean@climate_2009_2012,2010_06_tempmean@climate_2009_2012, \
       2010_07_tempmean@climate_2009_2012,2010_08_tempmean@climate_2009_2012,2010_09_tempmean@climate_2009_2012, \
       2010_10_tempmean@climate_2009_2012,2010_11_tempmean@climate_2009_2012,2010_12_tempmean@climate_2009_2012, \
       2011_01_tempmean@climate_2009_2012,2011_02_tempmean@climate_2009_2012,2011_03_tempmean@climate_2009_2012, \
       2011_04_tempmean@climate_2009_2012,2011_05_tempmean@climate_2009_2012,2011_06_tempmean@climate_2009_2012, \
       2011_07_tempmean@climate_2009_2012,2011_08_tempmean@climate_2009_2012,2011_09_tempmean@climate_2009_2012, \
       2011_10_tempmean@climate_2009_2012,2011_11_tempmean@climate_2009_2012,2011_12_tempmean@climate_2009_2012, \
       2012_01_tempmean@climate_2009_2012,2012_02_tempmean@climate_2009_2012,2012_03_tempmean@climate_2009_2012, \
       2012_04_tempmean@climate_2009_2012,2012_05_tempmean@climate_2009_2012,2012_06_tempmean@climate_2009_2012, \
       2012_07_tempmean@climate_2009_2012,2012_08_tempmean@climate_2009_2012,2012_09_tempmean@climate_2009_2012, \
       2012_10_tempmean@climate_2009_2012,2012_11_tempmean@climate_2009_2012,2012_12_tempmean@climate_2009_2012
       The delta value calculate the interval between maps and the distance from the first map:

       t.rast.list method=delta input=tempmean_monthly
       id|name|mapset|start_time|end_time|interval_length|distance_from_begin
       2009_01_tempmean@climate_2000_2012|2009_01_tempmean|climate_2000_2012|2009-01-01 00:00:00|2009-02-01 00:00:00|31.0|0.0
       2009_02_tempmean@climate_2000_2012|2009_02_tempmean|climate_2000_2012|2009-02-01 00:00:00|2009-03-01 00:00:00|28.0|31.0
       2009_03_tempmean@climate_2000_2012|2009_03_tempmean|climate_2000_2012|2009-03-01 00:00:00|2009-04-01 00:00:00|31.0|59.0
       ...
       2012_10_tempmean@climate_2000_2012|2012_10_tempmean|climate_2000_2012|2012-10-01 00:00:00|2012-11-01 00:00:00|31.0|1369.0
       2012_11_tempmean@climate_2000_2012|2012_11_tempmean|climate_2000_2012|2012-11-01 00:00:00|2012-12-01 00:00:00|30.0|1400.0
       2012_12_tempmean@climate_2000_2012|2012_12_tempmean|climate_2000_2012|2012-12-01 00:00:00|2013-01-01 00:00:00|31.0|1430.0
       The gran value it is used to return data sampled by a user defined granule. As default the
       granularity of the space time raster dataset is used for sampling.

       t.rast.list  method=gran input=tempmean_monthly
       id|name|mapset|start_time|end_time|interval_length|distance_from_begin
       2009_01_tempmean@climate_2009_2012|2009_01_tempmean|climate_2009_2012|2009-01-01 00:00:00|2009-02-01 00:00:00|31.0|0.0
       2009_02_tempmean@climate_2009_2012|2009_02_tempmean|climate_2009_2012|2009-02-01 00:00:00|2009-03-01 00:00:00|28.0|31.0
       2009_03_tempmean@climate_2009_2012|2009_03_tempmean|climate_2009_2012|2009-03-01 00:00:00|2009-04-01 00:00:00|31.0|59.0
       2009_04_tempmean@climate_2009_2012|2009_04_tempmean|climate_2009_2012|2009-04-01 00:00:00|2009-05-01 00:00:00|30.0|90.0
       ....
       2012_09_tempmean@climate_2009_2012|2012_09_tempmean|climate_2009_2012|2012-09-01 00:00:00|2012-10-01 00:00:00|30.0|1339.0
       2012_10_tempmean@climate_2009_2012|2012_10_tempmean|climate_2009_2012|2012-10-01 00:00:00|2012-11-01 00:00:00|31.0|1369.0
       2012_11_tempmean@climate_2009_2012|2012_11_tempmean|climate_2009_2012|2012-11-01 00:00:00|2012-12-01 00:00:00|30.0|1400.0
       2012_12_tempmean@climate_2009_2012|2012_12_tempmean|climate_2009_2012|2012-12-01 00:00:00|2013-01-01 00:00:00|31.0|1430.0

       t.rast.list  method=gran input=tempmean_monthly gran="2 months"
       id|name|mapset|start_time|end_time|interval_length|distance_from_begin
       2009_01_tempmean@climate_2009_2012|2009_01_tempmean|climate_2009_2012|2009-01-01 00:00:00|2009-03-01 00:00:00|59.0|0.0
       2009_03_tempmean@climate_2009_2012|2009_03_tempmean|climate_2009_2012|2009-03-01 00:00:00|2009-05-01 00:00:00|61.0|59.0
       2009_05_tempmean@climate_2009_2012|2009_05_tempmean|climate_2009_2012|2009-05-01 00:00:00|2009-07-01 00:00:00|61.0|120.0
       ....
       2012_07_tempmean@climate_2009_2012|2012_07_tempmean|climate_2009_2012|2012-07-01 00:00:00|2012-09-01 00:00:00|62.0|1277.0
       2012_09_tempmean@climate_2009_2012|2012_09_tempmean|climate_2009_2012|2012-09-01 00:00:00|2012-11-01 00:00:00|61.0|1339.0
       2012_11_tempmean@climate_2009_2012|2012_11_tempmean|climate_2009_2012|2012-11-01 00:00:00|2013-01-01 00:00:00|61.0|1400.0
       For the deltagaps value you can see the example for space time vector dataset t.vect.list

SEE ALSO

        g.list, t.create, t.info, t.list, t.rast3d.list, t.vect.list

       Temporal data processing Wiki

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

       Available at: t.rast.list source code (history)

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