Exploratory spatial data analysis functions.
Project description
[](https://travis-ci.org/pysal/esda) [](https://zenodo.org/badge/latestdoi/81873636)
Methods for testing for global and local autocorrelation in areal unit data.
Installation
Install esda by running:
` $ pip install esda `
#### Requirements
libpysal
Contribute
PySAL-esda is under active development and contributors are welcome.
If you have any suggestion, feature request, or bug report, please open a new [issue](https://github.com/pysal/esda/issues) on GitHub. To submit patches, please follow the PySAL development [guidelines](http://pysal.readthedocs.io/en/latest/developers/index.html) and open a [pull request](https://github.com/pysal/esda). Once your changes get merged, you’ll automatically be added to the [Contributors List](https://github.com/pysal/esda/graphs/contributors).
Support
If you are having issues, please talk to us in the [gitter room](https://gitter.im/pysal/pysal).
License
The project is licensed under the [BSD license](https://github.com/pysal/esda/blob/master/LICENSE).
Funding
<img src=”figs/nsf_logo.jpg” width=”50”> Award #1421935 [New Approaches to Spatial Distribution Dynamics](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1421935)
](https://travis-ci.org/pysal/esda){kind=link}
](https://zenodo.org/badge/latestdoi/81873636){kind=link}