Exploratory Spatial Data Analysis.
Project description
Exploratory Spatial Data Analysis in PySAL
Methods for testing for global and local autocorrelation in areal unit data.
Documentation
Installation
Install esda by running:
$ pip install esda
Requirements
- libpysal
Optional dependencies
numba, version0.50.1or greater, is used to accelerate computational geometry and permutation-based statistical inference. Unfortunately, versions before0.50.1may cause some local statistical functions to break, so please ensure you havenumba>=0.50.1installed.
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 on GitHub. To submit patches, please follow the PySAL development guidelines and open a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.
Support
If you are having issues, please talk to us in the gitter room.
License
The project is licensed under the BSD 3-Clause license.
Funding
National Science Foundation Award #1421935: New Approaches to Spatial Distribution Dynamics
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size esda-2.4.1.tar.gz (95.1 kB) | File type Source | Python version None | Upload date | Hashes View |