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Landing Page for pysal.
PySAL: Python Spatial Analysis Library
This repo serves as an announcement platform for the PySAL Code of Conduct Committee
Core components of Python Spatial Analysis Library
Lightweight plotting for geospatial analysis in PySAL
The place to ask questions about and get help with the PySAL project.
SPAtial GrapHs: nETworks, Topology, & Inference
A library for Spatially-Explicit Regionalization
jupyter/ipython notebooks demonstrating PySAL functionality
SPatial INTeraction Models (spint)
Multiscale Geographically Weighted Regression (MGWR)
multilevel spatially-correlated variance components models
Geospatial Distribution Dynamics
This provides a template for submodules to use in the PySAL project
Planar Point Pattern Analysis in PySAL
SParse Generalized Linear Models (spglm)
statistics and classes for exploratory spatial data analysis
Measures of spatial (and non-spatial) inequality
Classification schemes for choropleth mapping.
This is a repository for the geographically-weighted regression submodule of the Python Spatial Analysis Library
Legendgrams are distributional visualizations for map classification schemes
Example data sets for PySAL
This repository contains an automated Python library extraction tool originally developed to expose the PySAL library as a RESTful service.