GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
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Updated
May 19, 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.
Variography for the GeoStats.jl framework
Spatial Data Analysis using different statistical methods
Kriging estimators for the GeoStats.jl framework
Gaussian process regression
Spectral Gaussian simulation solver for the GeoStats.jl framework
Geostatistical simulation solvers for the GeoStats.jl framework
Direct Gaussian simulation solver for the GeoStats.jl framework
Geostatistical functions for the GeoStats.jl framework
Satellite library(fft, variogram,...)
(Geo)spatial Statistics with R (Meuse)
GUI to compute 2-D variogram and entrogram
Nonparametric functional data analysis
Applied Spatial Data Analysis in geoscience
Built-in solvers for the GeoStats.jl framework
This Python 3 script attempts to examine if there are spatial correlations between the different spherical grains in a bidisperse (two-sized) grain pack by constructing variograms for measuring the spatial distribution of grain volumes and the inter-granular distances
Geostatistical models for the GeoStats.jl framework
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