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

Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis

Spatial econometric regression in Python

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

Spatial modeling using machine learning concepts

Population genetic simulations in R 🌍

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

Fast Geographically Weighted Regression (FastGWR)

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

SParse Generalized Linear Models (spglm)

A MATLAB/C++ implementation of solid texture synthesis algorithms for constructing statistically representative 3D microstructure datasets from only 2D data.

Analysis of Spatial Stratified Heterogeneity

Визуализация и анализ географических данных на языке R

A framework for statistical modelling in C++.