This is the command t.infograss that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
NAME
t.info - Lists information about space time datasets and maps.
KEYWORDS
temporal, metadata, extent, time
SYNOPSIS
t.info
t.info --help
t.info [-ghs] 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
-s
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 -s
+------------------- 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
+----------------------------------------------------------------------------+
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