Overview

The Python Spatial Analysis Library (PySAL) is a core library for spatial analysis in Python. It provides essential tools and functionalities for working with spatial data, such as computational geometry, input/output handling, spatial weights, and example datasets. The library is actively developed and welcomes contributions from the community.

Features

Core library for spatial analysis in Python
Continuous integration for ensuring code quality
Code coverage reporting with codecov
Distributed on PyPI for easy installation
Available on Conda for managing dependencies
Digital Object Identifier (DOI) for reference and citation
Various modules for different spatial analysis tasks, such as computational geometry, input/output handling, and spatial weights
Built-in example datasets for testing and learning
Example notebooks for demonstrating PySAL functionalities

PyPI

pip install pysal

Conda

conda install pysal

Summary

The Python Spatial Analysis Library (PySAL) is a comprehensive library for spatial analysis in Python. It provides essential tools and functionalities for working with spatial data, including computational geometry, input/output handling, and spatial weights. The library also offers built-in example datasets and example notebooks for learning and testing. PySAL is actively developed and welcomes contributions from the community. It is available for installation via PyPI and Conda.

Pysal

Libpysal