geoextent 0.7.1

A package to extract geospatial extent from files and directories

geoextent

Python library for extracting geospatial extent of files and directories with multiple data formats

This project is developed as part of the DFG-funded research project Opening Reproducible Research (o2r, https://o2r.info).

Installation

System requirements

Python: 3.x

The package relies on common system libraries for reading geospatial datasets, such as GDAL and NetCDF. On Debian systems, the UbuntuGIS project offers easy installation of up to date versions of those libraries.

See the packages list in travis.yml for a full list of dependencies on Linux.

Install from PyPI

You must install a suitable version of pygdal manually first, see instructions and this related SO thread with different helpful answers. We use pygdal for better compatibility with virtual environments.

# pip install pygdal=="`gdal-config --version`.*"
pip install geoextent

Source installation

git clone https://github.com/o2r-project/geoextent
cd geoextent
pip install -r requirements.txt

pip install -e .

Use

Run

geoextent --help

to see usage instructions.

Supported data formats

• GeoJSON (.geojson)
• Tabular data (.csv)
• Shapefile (.shp)
• GeoTIFF (.geotiff, .tif)

Contribute

All help is welcome: asking questions, providing documentation, testing, or even development.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

See CONTRIBUTING.md for details.

How to cite

Nüst, Daniel; Garzón, Sebastian and Qamaz, Yousef. (2021, May 11). o2r-project/geoextent (Version v0.7.1). Zenodo. https://doi.org/10.5281/zenodo.3925693

See also the CITATION.cff and codemeta.json files in this repository, which can possibly be imported in the reference manager of your choice.

License

geoextent is licensed under MIT license, see file LICENSE.

Copyright (C) 2020 - o2r project.