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Applied Geostatistics in Python: a Hands-on Guide with GeostatsPy
Geostatistical Concepts
Coordinate Transformations
Univariate Distributions
Distribution Transformations
Plotting Spatial Data and Models
Bootstrap for Uncertainty Modeling
Declustering to Correct Sampling Bias
Advanced Declustering
Variogram Calculation
Variogram Positive Definite Models
Variogram Models, Simulation Examples
Variogram Calculation and Modeling
Variogram Calculation from an Image
Trend Modeling
Spatial Trend Modeling, 1D + 2D
Inverse Distance
Simple and Ordinary Kriging
Indicator Kriging
Stochastic Simulation
Kriging vs. Simulation, 1D
Kriging vs. Simulation, 2D Maps
Indicator Simulation
Cosimulation
Ergodic Fluctuations
Simulation Post-processing
Model Checking
Volume Variance
Conclusions
References
Repository
Open issue
Index
