Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields

DOI10.1007/s00477-010-0389-9zbMath1402.86021OpenAlexW2061930335MaRDI QIDQ1625520

Shanqin Wang, Chuanrong Zhang, Weidong Li, Dey, Dipak K.

Publication date: 29 November 2018

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-010-0389-9

zbMATH Keywords

geostatisticsspatial uncertaintytransiogramenvironmental evaluation

Mathematics Subject Classification ID

Geostatistics (86A32)

Uses Software

• GSLIB

Cites Work

• Unnamed Item
• A comparative study of nonlinear Markov chain models for conditional simulation of multinomial classes from regular samples
• Markov chain random fields for estimation of categorical variables
• Spatial sampling plans to monitor the 3-D spatial distribution of extremes in soil pollution surveys
• Impact of the simulation algorithm, magnitude of ergodic fluctuations and number of realizations on the spaces of uncertainty of flow properties
• Bayesian prediction of clipped Gaussian random fields.
• Disjunctive kriging revisited. I, II.

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