Examples#
End-to-end worked examples covering the full krigekit workflow: variogram analysis, kriging and interpolation, stochastic simulation, and space-time modelling. Each section can be run independently.
Variogram analysis#
Computing, fitting, and visualising empirical and model variograms, including 3-D anisotropic structures.
Estimating 3-D orientation, then fitting a nested variogram
Nested variogram fitting for an indicator variable
Nested anisotropic variogram fitting from 2-D SGSIM
Fitting a product-sum variogram for the CCl4 plume
Variogram fitting for space-time groundwater levels
Kriging and interpolation#
Ordinary kriging, co-kriging, kriging with external drift, spatially varying anisotropy, and leave-one-out cross-validation.
Stochastic simulation#
Sequential Gaussian and indicator simulations for uncertainty quantification, including co-indicator simulation with a continuous covariate.
Co-kriging Indicator Simulation with a Continuous Covariate
Space-time kriging#
Multi-event and 3-D space-time kriging for datasets distributed across both space and time.
Multi-Event Universal Kriging (MEUK) — synthetic replication
Space-time kriging of groundwater levels with a quasi-periodic covariance