# esda **Repository Path**: xxfigo/esda ## Basic Information - **Project Name**: esda - **Description**: No description available - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-05-12 - **Last Updated**: 2021-05-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Exploratory Spatial Data Analysis in PySAL [![unittests](https://github.com/pysal/esda/workflows/.github/workflows/unittests.yml/badge.svg)](https://github.com/pysal/esda/actions?query=workflow%3A.github%2Fworkflows%2Funittests.yml) [![codecov](https://codecov.io/gh/pysal/esda/branch/master/graph/badge.svg)](https://codecov.io/gh/pysal/esda) [![DOI](https://zenodo.org/badge/81873636.svg)](https://zenodo.org/badge/latestdoi/81873636) Methods for testing for global and local autocorrelation in areal unit data. ## Documentation - [Home](https://pysal.org/esda) - [Tutorial](https://pysal.org/esda/tutorial.html) - [API](https://pysal.org/esda/api.html) ## Installation Install esda by running: ``` $ pip install esda ``` ## Requirements - libpysal ### Optional dependencies - `numba`, version `0.50.1` or greater, is used to accelerate computational geometry and permutation-based statistical inference. Unfortunately, versions before `0.50.1` may cause some local statistical functions to break, so please ensure you have `numba>=0.50.1` installed. ## 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](https://github.com/pysal/pysal/wiki) 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 3-Clause license](https://github.com/pysal/esda/blob/master/LICENSE). ## Funding [](https://www.nsf.gov/index.jsp) National Science Foundation Award #1421935: [New Approaches to Spatial Distribution Dynamics](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1421935)