ESDA: Exploratory Spatial Data Analysis

Spatial Autocorrelation for continuous and discrete data

Shape Regularity Statistics

Boundary and Region Statistics

Multivariable Moran Statistics

Discrete Spatial Autocorrelation with Join Counts

Introduction

Details are available in the esda api.

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 esda’s issues.

Citing esda

If you use PySAL-esda 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.