Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil

DOI10.1007/s11004-005-9009-5zbMath1138.86311OpenAlexW2145307798MaRDI QIDQ862444

Linda Werner Hartman

Publication date: 24 January 2007

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

Full work available at URL: https://doi.org/10.1007/s11004-005-9009-5

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Geostatistics (86A32)

Related Items

Fast kriging of large data sets with Gaussian Markov random fields

Cites Work

• Fast Sampling of Gaussian Markov Random Fields
• An empirical comparison of kriging methods for nonlinear spatial point prediction
• Valid parameter space of 2-D Gaussian Markov random fields
• Model-Based Geostatistics
• Fitting Gaussian Markov Random Fields to Gaussian Fields
• The origins of kriging
• Unnamed Item