# pointpats: Point Pattern Analysis in PySAL
[](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)
[](https://codecov.io/gh/pysal/pointpats)
[](https://pointpats.readthedocs.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/pointpats)
[](https://doi.org/10.5281/zenodo.3265637)
Statistical analysis of planar point patterns.
This package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.
## Introduction
This [pointpats](https://github.com/pysal/pointpats) package is intended
to support the statistical analysis of planar point patterns.
It currently works on cartesian coordinates. Users with data in
geographic coordinates need to project their data prior to using this
module.
## Documentation
Online documentation is available
[here](https://pointpats.readthedocs.io).
## Examples
- [Basic point pattern
structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)
- [Centrography and
visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)
- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)
- [Simulation of point
processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)
- [Distance based
statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)
## Installation
Install pointpats by running:
$ pip install pointpats
## Development
pointpats development is hosted on
[github](https://github.com/pysal/pointpats).
As part of the PySAL project, pointpats development follows these
[guidelines](http://pysal.org/getting_started).
## Bug reports
To search for or report bugs, please see pointpats'
[issues](https://github.com/pysal/pointpats/issues).
## BibTeX Citation
```
@misc{sergio_rey_2019_3265637,
author = {Sergio Rey and
Wei Kang and
Hu Shao and
Levi John Wolf and
Mridul Seth and
James Gaboardi and
Dani Arribas-Bel},
title = {pysal/pointpats: pointpats 2.1.0},
month = jul,
year = 2019,
doi = {10.5281/zenodo.3265637},
url = {https://doi.org/10.5281/zenodo.3265637}
}
```
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"description": "# pointpats: Point Pattern Analysis in PySAL\n\n[](https://github.com/pysal/pointpats/actions/workflows/tests.yaml)\n[](https://codecov.io/gh/pysal/pointpats)\n[](https://pointpats.readthedocs.io/en/latest/?badge=latest)\n[](https://badge.fury.io/py/pointpats)\n[](https://doi.org/10.5281/zenodo.3265637)\n\nStatistical analysis of planar point patterns.\n\nThis package is part of [PySAL](https://pysal.org): The Python Spatial Analysis Library.\n\n## Introduction\n\nThis [pointpats](https://github.com/pysal/pointpats) package is intended\nto support the statistical analysis of planar point patterns.\n\nIt currently works on cartesian coordinates. Users with data in\ngeographic coordinates need to project their data prior to using this\nmodule.\n\n## Documentation\n\nOnline documentation is available\n[here](https://pointpats.readthedocs.io).\n\n## Examples\n\n- [Basic point pattern\n structure](https://github.com/pysal/pointpats/tree/main/notebooks/pointpattern.ipynb)\n- [Centrography and\n visualization](https://github.com/pysal/pointpats/tree/main/notebooks/centrography.ipynb)\n- [Marks](https://github.com/pysal/pointpats/tree/main/notebooks/marks.ipynb)\n- [Simulation of point\n processes](https://github.com/pysal/pointpats/tree/main/notebooks/process.ipynb)\n- [Distance based\n statistics](https://github.com/pysal/pointpats/tree/main/notebooks/distance_statistics-numpy-oriented.ipynb)\n\n## Installation\n\nInstall pointpats by running:\n\n $ pip install pointpats\n\n## Development\n\npointpats development is hosted on\n[github](https://github.com/pysal/pointpats).\n\nAs part of the PySAL project, pointpats development follows these\n[guidelines](http://pysal.org/getting_started).\n\n## Bug reports\n\nTo search for or report bugs, please see pointpats'\n[issues](https://github.com/pysal/pointpats/issues).\n\n## BibTeX Citation\n\n```\n@misc{sergio_rey_2019_3265637,\n author = {Sergio Rey and\n Wei Kang and\n Hu Shao and\n Levi John Wolf and\n Mridul Seth and\n James Gaboardi and\n Dani Arribas-Bel},\n title = {pysal/pointpats: pointpats 2.1.0},\n month = jul,\n year = 2019,\n doi = {10.5281/zenodo.3265637},\n url = {https://doi.org/10.5281/zenodo.3265637}\n}\n```\n",
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