libpysal: Python Spatial Analysis Library Core

Introduction

  • Spatial Weights: libpysal.weights

  • Input-and output: libpysal.io

  • Computational geometry: libpysal.cg

  • Built-in example datasets libpysal.examples

Examples demonstrating some of libpysal functionality are available in the tutorial.

Details are available in the libpysal api.

For background information see [RA07].

Development

Discussions of development occurs on the developer list

Getting Involved

If you are interested in contributing to PySAL please see our

Bug reports

To search for or report bugs, please see libpysal’s issues.

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

See the file “LICENSE.txt” for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.

libpysal