Geostatistics Python Packages

gstools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

pykrige

Kriging Toolkit for Python

g2s

A flexible MPS framework

xdem

Analysis of digital elevation models and elevation point clouds

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

geoarchpy

ArchPy - Stochastic geological modeling

gstools-core

A Rust implementation of the core algorithms of GSTools.

terraflow-agro

Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture — Ordinary Kriging + LOOCV variogram selection, Monte-Carlo score CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints

pysgems

Use SGeMS (Stanford Geostatistical Modeling Software) within Python.

uc-sgsim

Random Field Generation

spatialize

Spatialize: A Python/C++ Library for Ensemble Spatial Interpolation

pygeko

Fast Generalized Covariance Kriging for Python

geokrige

GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.

stif

"Space-Time Interpolation and Forecasting" - Predicting spatio-temporally distributed variables via space-time regression kriging using numpy and numba.

palm-kernel

A python package for geostatistical analysis

pygada

Python geostatistical package to perform automated exploratory and geostatistical data analysis.

unbihexium

Production-grade Earth Observation, Geospatial, Remote Sensing, and SAR Python library