Core components of PySAL - A library of spatial analysis functions
PySAL Spatial Econometric Regression in Python
Exploratory Spatial Data Analysis in PySAL
Context geo-tiles in Python
A library of spatial analysis functions.
Analysis of Network-constrained Spatial Data
GIDDY: GeospatIal Distribution DYnamics
Explore and download data from Census APIs
Use Wes Anderson Color Palettes in Matplotlib & Seaborn
Fit spatial multilevel models and diagnose convergence
Package offering regionalization algorithms
tools & methods to measure shape regularity
Legendgrams are map legends that visualize the distribution of observations by color in a given map
Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached
A fast sparse algorithm for spatial regionalization.