API Reference

pysal.lib: PySAL Core

• weights: Spatial Weights

• cg: Computational Geometry

• io: Input-Output

• examples: Example datasets

pysal.explore: Exploratory Spatial Data Analysis

• esda: Spatial Autocorrelation Analysis

• giddy: Geospatial Distribution Dynamics

• inequality: Spatial Inequality Analysis

• pointpats: Planar Point Pattern Analysis

• segregation: Segregation Analysis

• spaghetti: Spatial Analysis on Networks

pysal.model: Spatial Statistical Models

• mgwr: Multiscale Geographically Weighted Regression

• spglm: Sparse Generalized Linear Models

• spint: Spatial Interaction Modeling

• 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