https://github.com/pysal/esda

statistics and classes for exploratory spatial data analysis
https://github.com/pysal/esda

Last synced: 16 days ago
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statistics and classes for exploratory spatial data analysis

• Host: GitHub
• URL: https://github.com/pysal/esda
• Owner: pysal
• License: bsd-3-clause
• Created: 2017-02-13T21:26:48.000Z (over 7 years ago)
• Default Branch: main
• Last Pushed: 2024-10-05T11:46:48.000Z (about 1 month ago)
• Last Synced: 2024-10-13T19:18:45.195Z (29 days ago)
• Language: Jupyter Notebook
• Homepage: https://pysal.org/esda
• Size: 44.8 MB
• Stars: 216
• Watchers: 27
• Forks: 55
• Open Issues: 37
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.txt

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README

        
# Exploratory Spatial Data Analysis in PySAL

![tag](https://img.shields.io/github/v/release/pysal/esda?include_prereleases&sort=semver)

[![Continuous Integration](https://github.com/pysal/esda/actions/workflows/testing.yml/badge.svg)](https://github.com/pysal/esda/actions/workflows/testing.yml) 

[![codecov](https://codecov.io/gh/pysal/esda/branch/main/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:

### conda-forge

*preferred*

```

$ conda install -c conda-forge esda

```

### PyPI

```

$ pip install esda

```

### GitHub

```

$ pip install git+https://github.com/pysal/esda@main

```

## Requirements

- `geopandas>=0.12`

- `libpysal>=4.12`

- `numpy>=1.24`

- `pandas>1.5`

- `scikit-learn>=1.2`

- `scipy>=1.9`

- `shapely>=2.0`

### Optional dependencies

- `numba>=0.57` - used to accelerate computational geometry and permutation-based statistical inference.

- `rtree>=1.0` - required for `esda.topo.isolation()`

## 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 [`esda` Discord channel](https://discord.gg/Re46DjyB9U).

## License

The project is licensed under the [BSD 3-Clause license](https://github.com/pysal/esda/blob/main/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)