GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
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Updated
Aug 24, 2026 - Python
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
GammaRay: a graphical interface to GSLib and other geomodeling algorithms.
Kriging estimators for the GeoStats.jl framework
A Rust implementation of the core algorithms of GSTools.
"Space-Time Interpolation and Forecasting" - Predicting spatio-temporally distributed variables via space-time regression kriging using numpy and numba.
Variography for the GeoStats.jl framework
Gaussian process regression
Spatial Data Analysis using different statistical methods
Geostatistical functions for the GeoStats.jl framework
Built-in solvers for the GeoStats.jl framework
Satellite library(fft, variogram,...)
GUI to compute 2-D variogram and entrogram
Geostatistical simulation solvers for the GeoStats.jl framework
Spectral Gaussian simulation solver for the GeoStats.jl framework
A pure julia implementation of the VARS global sensitivity analysis method
Geostatistical models for the GeoStats.jl framework
A research-grade tool for comprehensive spatial and descriptive analysis of soils - built with coding assistance from the Antigravity CLI, and Claude Code.
User-friendly python app to create radioactivity maps using Kriging
Repository for Variogram, Correlation and Kriging Estimation (VarioCorreKrigE)
A tool to quantify the spatio-temporal continuity of sparse data
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