Conditioning simulations of Gaussian random fields by ordinary kriging

DOI10.1007/s11004-007-9112-xzbMath1141.86305OpenAlexW2001600790MaRDI QIDQ939061

Xavier Emery

Publication date: 20 August 2008

Published in: Mathematical Geology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-007-9112-x

zbMATH Keywords

GeostatisticsConditional simulationMulti-Gaussian modelRandom meanSpatial uncertainty

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (4)

Unnamed Item ⋮ Uncertainty assessment over any volume without simulation: revisiting multi-Gaussian kriging ⋮ Multi-Gaussian kriging and simulation in the presence of an uncertain mean value ⋮ Texture Inpainting Using Efficient Gaussian Conditional Simulation

Cites Work

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• Variograms of order \(\omega\): a tool to validate a bivariate distribution model
• Testing the correctness of the sequential algorithm for simulating Gaussian random fields
• Simple and ordinary multigaussian kriging for estimating recoverable reserves
• Multigaussian kriging for point-support estimation: incorporating constraints on the sum of the kriging weights
• The Bayesian bridge between simple and universal Kriging

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