Spatial machine learning

Core components of Python Spatial Analysis Library

robspdep: Robust Spatial Dependence

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

A Python library for the interpolation of aquatic biogeochemical datasets using ensemble-based ML

Planar Point Pattern Analysis in PySAL

Bayesian spatial econometric models

difference-in-differences in Python

Explore and download data from Census APIs

pandas routing machine

Python tools for geographic data

Fast and accurate raster zonal statistics

statistics and classes for exploratory spatial data analysis

Spatial Optimization

Legendgrams are distributional visualizations for map classification schemes

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

Clustergram - Visualization and diagnostics for cluster analysis in Python

Scrape planning applications from local planning authorities in the UK

torch-like convolution over binary trees

Uplift modeling and causal inference with machine learning algorithms

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Prototype scripts that are easy to edit variables for different outputs. Example searches one crawl for all .co.uk websites geolocated by postcode to the Bristol area.

ISLP package: data and code for labs