GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
-
Updated
Dec 8, 2024 - Python
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Analysis of digital elevation models (DEMs)
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Kriging estimators for the GeoStats.jl framework
Gaussian process regression
Variography for the GeoStats.jl framework
A Rust implementation of the core algorithms of GSTools.
Spatial Data Analysis using different statistical methods
Built-in solvers for the GeoStats.jl framework
"Space-Time Interpolation and Forecasting" - Predicting spatio-temporally distributed variables via space-time regression kriging using numpy and numba.
Geostatistical functions 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
Geostatistical models for the GeoStats.jl framework
Applied Spatial Data Analysis in geoscience
Gaussian simulation solvers for the GeoStats.jl framework
A tool to quantify the spatio-temporal continuity of sparse data
Add a description, image, and links to the variogram topic page so that developers can more easily learn about it.
To associate your repository with the variogram topic, visit your repo's landing page and select "manage topics."