Core components of PySAL - A library of spatial analysis functions
Project description
libpysal: Python Spatial Analysis Library Core
Introduction
libpysal offers five modules that form the building blocks in many upstream packages in the PySAL family:
libpysal.cg– Computational geometrylibpysal.examples– Built-in example datasetslibpysal.graph– Graph class encoding spatial weights matriceslibpysal.io– Input and outputlibpysal.weights– Spatial weights (legacy)
Documentation
The documentation of libpysal is available at
pysal.org/libpysal.
Development
libpysal development is hosted on GitHub.
Discussions of development occurs on PySAL Discord.
Contributing
PySAL-libpysal is under active development and contributors are welcome. If you have any suggestions, feature requests, or bug reports, please open new issues on GitHub. To submit patches, please review PySAL's documentation for developers, the PySAL development guidelines, and the libpysal contributing guidelines before opening a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.
Citing libpysal
If you use PySAL in a scientific publication, we would appreciate citations to the following paper:
PySAL: A Python Library of Spatial Analytical Methods, Rey, S.J. and L. Anselin, Review of Regional Studies 37, 5-27 2007.
Bibtex entry:
@Article{pysal2007,
author={Rey, Sergio J. and Anselin, Luc},
title={{PySAL: A Python Library of Spatial Analytical Methods}},
journal={The Review of Regional Studies},
year=2007,
volume={37},
number={1},
pages={5-27},
keywords={Open Source; Software; Spatial}
}
License information
The package is licensed under BSD 3-Clause License (Copyright (c) 2007-, PySAL Developers).
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