Contents:
pysal.lib
pysal.explore
pysal.model
pysal.viz
weights: Spatial Weights
cg: Computational Geometry
io: Input-Output
examples: Example datasets
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
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
mapclassify: Choropleth Map Classification Schemes
splot: Lightweight Visualization Interface for PySAL Analytics