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NAME

       t.info  - Lists information about space time datasets and maps.

KEYWORDS

       temporal, metadata, extent, time

SYNOPSIS

       t.info
       t.info --help
       t.info [-ghd] input=name  [type=name]   [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -g
           Print in shell script style

       -h
           Print history information in human readable shell style for space time datasets

       -d
           Print information about the temporal DBMI interface and exit

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       input=name [required]
           Name of an existing space time dataset or map

       type=name
           Type of the input space time dataset
           Options: strds,  str3ds,  stvds,  raster,  raster_3d,  vector
           Default: strds

DESCRIPTION

       t.info  reports  information about any dataset that is registered in the temporal database
       in human readable or shell script style. Datasets are raster, 3D raster and vector maps as
       well  as  their  corresponding  space time datasets (STRDS, STR3DS and STVDS). This module
       reports the information that  are  stored  in  the  temporal  database.  These  are  basic
       information  (id,  name,  mapset, creator, creation time, temporal type), the temporal and
       spatial extent and dataset type  specific  metadata.  The  user  has  to  utilize  r.info,
       r3.info,  v.info  to  report detailed information about raster, 3D raster and vector maps,
       since not all map specific information and metadata are stored in the temporal database.

       In addition, information about the chosen temporal database backend can be reported.

NOTES

       Temporal databases stored in other mapsets can be used as long as they are in  the  user’s
       current mapset search path (managed with g.mapsets).

EXAMPLES

   Temporal DBMI information
       In order to obtain information about temporal DBMI backend, run:
       t.info -d
        +------------------- Temporal DBMI backend information ----------------------+
        | DBMI Python interface:...... sqlite3
        | Temporal database string:... /grassdata/nc_spm_temporal_workshop/climate_2000_2012/tgis/sqlite.db
        | SQL template path:.......... /usr/local/grass-7.0.0/etc/sql
        | tgis_db_version .......... 2
        | creation_time .......... 2014-11-22 20:06:46.863733
        | tgis_version .......... 2
        +----------------------------------------------------------------------------+

   Space time dataset information
       In order to obtain information about a space time dataset, run:
       t.info input=tempmean_monthly
        +-------------------- Space Time Raster Dataset -----------------------------+
        |                                                                            |
        +-------------------- Basic information -------------------------------------+
        | Id: ........................ tempmean_monthly@climate_2000_2012
        | Name: ...................... tempmean_monthly
        | Mapset: .................... climate_2000_2012
        | Creator: ................... lucadelu
        | Temporal type: ............. absolute
        | Creation time: ............. 2014-11-27 08:50:48.443229
        | Modification time:.......... 2014-11-27 09:44:32.800282
        | Semantic type:.............. mean
        +-------------------- Absolute time -----------------------------------------+
        | Start time:................. 2009-01-01 00:00:00
        | End time:................... 2013-01-01 00:00:00
        | Granularity:................ 1 month
        | Temporal type of maps:...... interval
        +-------------------- Spatial extent ----------------------------------------+
        | North:...................... 320000.0
        | South:...................... 10000.0
        | East:.. .................... 935000.0
        | West:....................... 120000.0
        | Top:........................ 0.0
        | Bottom:..................... 0.0
        +-------------------- Metadata information ----------------------------------+
        | Raster register table:...... raster_map_register_d567423784c740bea1fba75dc7c0fa3d
        | North-South resolution min:. 500.0
        | North-South resolution max:. 500.0
        | East-west resolution min:... 500.0
        | East-west resolution max:... 500.0
        | Minimum value min:.......... -6.464337
        | Minimum value max:.......... 18.54137
        | Maximum value min:.......... 4.247691
        | Maximum value max:.......... 28.805381
        | Aggregation type:........... None
        | Number of registered maps:.. 48
        |
        | Title:
        | Monthly precipitation
        | Description:
        | Dataset with monthly precipitation
        | Command history:
        | # 2014-11-27 08:50:48
        | t.create type="strds" temporaltype="absolute"
        |     output="tempmean_monthly" title="Monthly precipitation"
        |     description="Dataset with monthly precipitation"
        | # 2014-11-27 09:44:32
        | t.register -i type="rast" input="tempmean_monthly" maps="2009_01_tempmean,...,2012_12_tempmean" start="2009-01-01" increment="1 months"
        |
        +----------------------------------------------------------------------------+
       The  "granularity" is the smallest gap size between the found time instances, i.e.  it the
       greatest common divisor between all gaps in the time series.

   Temporal maps information
       In order to obtain information about a map in a space time dataset, run:
       t.info input=2009_01_tempmean type=raster
        +-------------------- Raster Dataset ----------------------------------------+
        |                                                                            |
        +-------------------- Basic information -------------------------------------+
        | Id: ........................ 2009_01_tempmean@climate_2000_2012
        | Name: ...................... 2009_01_tempmean
        | Mapset: .................... climate_2000_2012
        | Creator: ................... lucadelu
        | Temporal type: ............. absolute
        | Creation time: ............. 2014-11-27 09:44:26.280147
        +-------------------- Absolute time -----------------------------------------+
        | Start time:................. 2009-01-01 00:00:00
        | End time:................... 2009-02-01 00:00:00
        +-------------------- Spatial extent ----------------------------------------+
        | North:...................... 320000.0
        | South:...................... 10000.0
        | East:.. .................... 935000.0
        | West:....................... 120000.0
        | Top:........................ 0.0
        | Bottom:..................... 0.0
        +-------------------- Metadata information ----------------------------------+
        | Datatype:................... DCELL
        | Number of columns:.......... 620
        | Number of rows:............. 1630
        | Number of cells:............ 1010600
        | North-South resolution:..... 500.0
        | East-west resolution:....... 500.0
        | Minimum value:.............. -3.380823
        | Maximum value:.............. 7.426054
        | Registered datasets ........ tempmean_monthly@climate_2000_2012
        +----------------------------------------------------------------------------+

   Space time dataset with semantic labels assigned
       This information is printed only when semantic labels have  been  assigned  to  registered
       raster maps by r.semantic.label or t.register module.
       t.info input=test
       ...
       +-------------------- Metadata information ----------------------------------+
       ...
        | Number of registered bands:. 13
       ...
       Similarly for temporal maps information:
       t.info input=T33UYP_20190331T094039_B01 type=raster
       ...
        +-------------------- Metadata information ----------------------------------+
        | Semantic label:............. S2_1
       ...

SEE ALSO

        t.create, t.list, t.register, r.info, r3.info, v.info

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

       Available at: t.info source code (history)

       Accessed: Tuesday Jun 27 11:14:35 2023

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