t.info - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

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
NOTES
EXAMPLES
SEE ALSO
AUTHOR

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
...

AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

Available at: t.info source code (history)

Latest change: Thursday Feb 03 11:10:06 2022 in commit: 547ff44e6aecfb4c9cbf6a4717fc14e521bec0be