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t.vect.import

Imports a space time vector dataset from a GRASS GIS specific archive file.

t.vect.import [-eoc] input=name output=name [basename=string] directory=name [title=string] [description=string] [project=string] [--overwrite] [--verbose] [--quiet] [--qq] [--ui]

Example:

t.vect.import input=name output=name directory=name

grass.script.run_command("t.vect.import", input, output, basename=None, directory, title=None, description=None, project=None, flags=None, overwrite=False, verbose=False, quiet=False, superquiet=False)

Example:

gs.run_command("t.vect.import", input="name", output="name", directory="name")

Parameters

input=name [required]
    Name of input file
output=name [required]
    Name of the output space time vector dataset
basename=string
    Basename of the new generated output maps
    A numerical suffix separated by an underscore will be attached to create a unique identifier
directory=name [required]
    Path to the extraction directory
title=string
    Title of the new space time dataset
description=string
    Description of the new space time dataset
project=string
    Create a new project (location) and import the data into it. Do not run this module in parallel or interrupt it when a new project should be created
-e
    Extend project extents based on new dataset
-o
    Override projection check (use current projects's CRS)
    Assume that the dataset has same coordinate reference system as the current project
-c
    Create the project specified by the "project" parameter and exit. Do not import the space time vector datasets.
--overwrite
    Allow output files to overwrite existing files
--help
    Print usage summary
--verbose
    Verbose module output
--quiet
    Quiet module output
--qq
    Very quiet module output
--ui
    Force launching GUI dialog

input : str, required
    Name of input file
    Used as: input, file, name
output : str, required
    Name of the output space time vector dataset
    Used as: output, stvds, name
basename : str, optional
    Basename of the new generated output maps
    A numerical suffix separated by an underscore will be attached to create a unique identifier
directory : str, required
    Path to the extraction directory
    Used as: input, dir, name
title : str, optional
    Title of the new space time dataset
description : str, optional
    Description of the new space time dataset
project : str, optional
    Create a new project (location) and import the data into it. Do not run this module in parallel or interrupt it when a new project should be created
flags : str, optional
    Allowed values: e, o, c
    e
        Extend project extents based on new dataset
    o
        Override projection check (use current projects's CRS)
        Assume that the dataset has same coordinate reference system as the current project
    c
        Create the project specified by the "project" parameter and exit. Do not import the space time vector datasets.
overwrite: bool, optional
    Allow output files to overwrite existing files
    Default: False
verbose: bool, optional
    Verbose module output
    Default: False
quiet: bool, optional
    Quiet module output
    Default: False
superquiet: bool, optional
    Very quiet module output
    Default: False

DESCRIPTION

t.vect.import imports a space time vector dataset archive that was exported with t.vect.export.

NOTES

Optionally a base map name can be provided to avoid that existing vector maps are overwritten by the map names that are used in the STRDS archive.

The directory is used as work directory in case of import but can also be used as a data directory when using GML for the data exchange.

EXAMPLE

In this example, five vector maps are created and registered in a single space time vector dataset named random_locations. Each vector map represents random locations within the boundary of the state taken at 1 month intervals. The space time dataset is then exported and re-imported.

db.connect -d

for i in `seq 1 5` ; do
    v.random output=map_$i n=500 restrict=boundary_state@PERMANENT
    echo map_$i >> map_list.txt
done

t.create type=stvds temporaltype=absolute \
         output=random_locations \
         title="Random locations" \
         description="Vector test dataset with random locations"

t.register -i type=vector input=random_locations \
           file=map_list.txt start="2012-01-01" increment="1 months"

t.vect.list random_locations

t.vect.export input=random_locations output=random_locations.tar.gz \
              compression=gzip

t.vect.import input=random_locations.tar.gz output=new_random_locations \
              basename=new_map directory=/tmp

t.vect.list new_random_locations
id|name|layer|mapset|start_time|end_time
new_map_1@user1|new_map_1|None|user1|2012-01-01 00:00:00|2012-02-01 00:00:00
new_map_2@user1|new_map_2|None|user1|2012-02-01 00:00:00|2012-03-01 00:00:00
new_map_3@user1|new_map_3|None|user1|2012-03-01 00:00:00|2012-04-01 00:00:00
new_map_4@user1|new_map_4|None|user1|2012-04-01 00:00:00|2012-05-01 00:00:00
new_map_5@user1|new_map_5|None|user1|2012-05-01 00:00:00|2012-06-01 00:00:00

SEE ALSO

t.vect.export, t.create, t.info, v.in.ogr, v.pack, t.rast.import

AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

Available at: t.vect.import source code (history)
Latest change: Friday Feb 07 19:16:09 2025 in commit a82a39f