t.vect.import - GRASS GIS manual

NAME

t.vect.import - Imports a space time vector dataset from a GRASS GIS specific archive file.

KEYWORDS

temporal, import, vector, time, create project

SYNOPSIS

t.vect.import

t.vect.import --help

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

Flags:

-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
--ui: Force launching GUI dialog

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

DESCRIPTION
NOTES
EXAMPLE
SEE ALSO
AUTHOR

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

AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

Available at: t.vect.import source code (history)

Latest change: Wednesday Apr 17 10:45:26 2024 in commit: 97ca8c0f06397c3d3a2ddfad0b5e06db320d5e24