Software

SSUS is the institutional home of oturns, open tools for urban, regional, and neighborhood science. The lab also builds its own numerical and statistical tools and leads several packages in the PySAL federation.

SSUS Numerical and statistical tools developed in the lab.

sparsax Lead

Sparse direct solvers for JAX, backed by SuiteSparse: factorizations, solves, and log-determinants that run natively inside compiled code.

pip install sparsax Source

pgjax Lead

Pólya-Gamma sampling on device for JAX, inside compiled, scanned, and parallel programs.

pip install pgjax Source

bayesplain Lead

The Bayesian version of the tests an introductory statistics course teaches, printed beside the conventional test.

pip install bayesplain Source

neighbayes Pre-release

Bayesian estimation of spatial econometric models in Python.

pip install neighbayes Source

locpick Pre-release

Discrete choice models of location decisions: households, individuals, or firms choosing among places.

pip install locpick Source

oturns Open tools for urban, regional, and neighborhood science.

geosnap Lead

The Geospatial Neighborhood Analysis Package: exploring, modeling, and visualizing the social context and spatial extent of neighborhoods and regions over time.

pip install geosnap Source

pandarm Lead

The pandas routing machine: travel network analysis on contraction hierarchies, with a pandas interface.

pip install pandarm Source

netweave Experimental

Transit and pedestrian networks woven into one routable multimodal graph for accessibility analysis.

Source

PySAL The Python Spatial Analysis Library. The lab leads the packages below; Eli is a core developer and serves on the steering committee.

segregation Lead

Segregation measurement: single-group, multigroup, and local indices, spatial and aspatial, with inference and decomposition.

pip install segregation Source

tobler Lead

Areal interpolation, dasymetric mapping, change of support, and small area estimation.

pip install tobler Source