PySAL: Python Spatial Analysis Library # PySAL is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python.

Lib Core spatial data structures, file IO. Construction and interactive editing of spatial weights matrices & graphs. Alpha shapes, spatial indices, and spatial-topological relationships

Installing the PySAL meta-package If you want to explore the full potential of PySAL, the PySAL meta-package comprised of all the individual packages can be installed in a variety of ways.

You can install the meta package pysal which results in all the packages in the pysal ecosystem being installed. Alternatively, individual packages can be installed a la carte.

PySAL Explore Module esda Esda implements methods for the analysis of both global (map-wide) and local (focal) spatial autocorrelation, for both continuous and binary data. In addition, the package …

Documentation Developers Install UsersDocumentation

Getting Involved ¶ If you are interested in contributing to PySAL please see our development guidelines. Bug reports ¶ To search for or report bugs, please see libpysal’s issues. Citing libpysal ¶ If you use …

PySAL Lib Module libpysal Libpysal provides foundational algorithms and data structures that support the rest of the library.

The first formal release of PySAL was July 2010 and the project has continued on a six-month release cycle since then. In 2018, PySAL was restructured as a meta-package that brings together a family of …

API Reference # pysal.lib: PySAL Core # cg: Computational Geometry examples: Example datasets graph: Graph class encoding spatial weights matrices io: Input-Output weights: Spatial Weights …