t.rast.list - GRASS GIS manual

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] [format=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, semantic_label, creator, mapset, temporal_type, creation_time, start_time, end_time, north, south, west, east, nsres, ewres, cols, rows, number_of_cells, min, max
columns=string[,string,...]: Columns to be printed to stdout; Options: id, name, semantic_label, creator, mapset, temporal_type, creation_time, start_time, end_time, north, south, west, east, nsres, ewres, cols, rows, number_of_cells, min, max, interval_length, distance_from_begin
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: list, cols, comma, delta, deltagaps, gran; Default: list
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"
format=string: Output format; Options: plain, line, json, yaml, csv
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
EXAMPLES
SEE ALSO
AUTHOR

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 metadata 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 list is the default option and sensitive to the column,order and where options.

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.

While method list supports all columns except for interval_length and distance_from_begin, methods delta, deltagap, and gran support only the following columns: id, name, mapset, start_time, end_time, interval_length, and distance_from_begin. The option order is only available with method list.

Methods cols and comma are depreciated. The cols method is replaced by the plain format and the comma method is replaced by the line format.

The format option specifies the format of the output data. The default plain format will simply print user specified metadata columns of one map layer per line separated by a pipe by default. The line format will list fully qualified map names (name and mapset) as a comma-separated list of values that can be used as input for spatial modules. The csv format will print data in the CSV format using comma as the value separator (delimiter) and double quote for text field quoting. The json format generates JSON and, if the PyYAML package is installed, The yaml format generates YAML. The column (or item) separator can be specified with the separator option for plain, line, and csv.

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

Reading raster names in Python

result = json.loads(
    gs.read_command(
        "t.rast.list", input="tempmean_monthly", format="json"
    )
)
for item in result["data"]:
    print(item["name"])