Assessing the accuracy of sequential Gaussian simulation and cosimulation

DOI10.1007/s10596-011-9235-5zbMath1237.86007OpenAlexW1988398449MaRDI QIDQ416066

Xavier Emery, María José Peláez

Publication date: 9 May 2012

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/128027

zbMATH Keywords

Gaussian random fieldscollocated co krigingmoving neighborhoodscreen effect approximationvisiting sequence

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08)

Related Items (2)

Which path to choose in sequential Gaussian simulation ⋮ Simulation of intrinsic random fields of order \(k\) with Gaussian generalized increments by Gibbs sampling

Uses Software

• GSLIB
• TBSIM

Cites Work

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• Generalized sequential Gaussian simulation on group size \(\nu\) and screen-effect approximations for large field simulations
• Data configurations and the cokriging system: Simplification by screen effects
• On some simplifications of cokriging neighborhood
• Spatial variation. 2nd ed
• Testing the correctness of the sequential algorithm for simulating Gaussian random fields
• Which models for collocated cokriging?
• The intrinsic random functions and their applications
• Spatial continuity measures for probabilistic and deterministic geostatistics
• Kriging with strings of data
• Markov models for cross-covariances

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