pointpats: Point Pattern Analysis in PySAL
Statistical analysis of planar point patterns.
This package is part of PySAL: The Python Spatial Analysis Library.
Introduction
This 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.
Installation
Install pointpats by running:
$ pip install pointpats
Development
pointpats development is hosted on github.
As part of the PySAL project, pointpats development follows PySAL's documentation for developers and the PySAL development guidelines.
Bug reports
To search for or report bugs, please see pointpats' issues.
BibTeX Citation
@software{wei_kang_2023_7706219,
author = {Wei Kang and
Levi John Wolf and
Sergio Rey and
Hu Shao and
Mridul Seth and
Martin Fleischmann and
Sugam Srivastava and
James Gaboardi and
Giovanni Palla and
Dani Arribas-Bel and
Qiusheng Wu},
title = {pysal/pointpats: pointpats 2.3.0},
month = mar,
year = 2023,
publisher = {Zenodo},
version = {v2.3.0},
doi = {10.5281/zenodo.7706219},
url = {https://doi.org/10.5281/zenodo.7706219}
}
Release files for pointpats 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pointpats-2.6.0.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pointpats-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / pointpats-2.6.0.tar.gz
| Download URL | pointpats-2.6.0.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pointpats-2.6.0-py3-none-any.whl
| Download URL | pointpats-2.6.0-py3-none-any.whl |
|---|---|
| Size | 72.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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ab58712e42b6ffb3b18932f5305508e818f79408aafa195ac09dad520376f49d
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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