Kriging Toolkit for Python

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

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.

Core components of Python Spatial Analysis Library

Umbrella package of the 'spatstat' family................

depthmapX is a multi-platform Spatial Network Analysis Software

From geospatial to spatial -omics

Spatial modeling using machine learning concepts

Analysis of Spatial Stratified Heterogeneity

Spatial econometric regression in Python

Open Educational Resource for teaching spatial data analysis and statistics with R

Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis

Spatial Empirical Dynamic Modeling

Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

Population genetic simulations in R

Fast Geographically Weighted Regression (FastGWR)

Information-Theoretic Measures for Revealing Variable Interactions

Pieces of code that have appeared on my blog.

SParse Generalized Linear Models (spglm)

Applied Geostatistics in Python: a hands-on Guide with GeostatsPy - free, online e-book by Professor Michael J. Pyrcz at The University of Texas at Austin.