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 pysal.explore: Exploratory Spatial Data Analysis# esda: Spatial Autocorrelation Analysis giddy: Geospatial Distribution Dynamics inequality: Spatial Inequality Analysis momepy: Urban Morphology Measuring Toolkit pointpats: Planar Point Pattern Analysis segregation: Segregation Analysis spaghetti: Spatial Analysis on Networks pysal.model: Spatial Statistical Models# access: Spatial Accessibility mgwr: Multiscale Geographically Weighted Regression spglm: Sparse Generalized Linear Models spint: Spatial Interaction Modeling spopt: Spatial Optimization spreg: Spatial Regression and Econometrics spvcm: Spatial Varying Component Models tobler: Areal Interpolation and Dasymetric Mapping pysal.viz: Geovisualization# mapclassify: Choropleth Map Classification Schemes splot: Lightweight Visualization Interface for PySAL Analytics
