Libpysal

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.