PySAL is an open source cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis.
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README.rst

Python Spatial Analysis Library

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PySAL_ is an open source cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis.

LISA Maps of US County Homicide Rates

Above: Local Indicators of Spatial Association for Homicide Rates in US Counties 1990.

PySAL modules

  • pysal.cg Computational geometry
  • pysal.contrib Contributed modules
  • pysal.core Core data structures and IO
  • pysal.esda Exploratory spatial data analysis
  • pysal.examples Data sets
  • pysal.inequality Spatial inequality analysis
  • pysal.network Spatial analysis on networks
  • pysal.region Spatially constrained clustering
  • pysal.spatial_dynamics Spatial dynamics
  • pysal.spreg Spatial econometrics and diagnostics
  • pysal.weights Spatial weights

Installation

PySAL can be installed using pip:

$ pip install pysal

PySAL is also available through Anaconda and Enthought Canopy.

Documentation

For help on using PySAL, check out the following resources:

Development

PySAL development is hosted on github.

Discussions of development occurs on the developer list as well as gitter.

Getting Involved

If you are interested in contributing to PySAL please see our development guidelines.

Bug reports

To search for or report bugs, please see PySAL's issues.

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.