# 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.