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OverviewMultivariate geostatistical data involves the observation of two or more spatial processes at spatial and/or temporal points. The objective of such analysis is to estimate the correlation or dependence structure between the multiple variable or to predict the multiple variable at unsampled locations. Multivariate Geostatistical Models provides complete coverage of all key topics in this area, including modeling and estimating the multivariate covariogram, multivariate spatial generalized linear mixed models, and multivariate non-Gaussian models. Illustrated with detailed worked examples from a range of disciplines, the book implements methods using Markov chain Monte Carlo (MCMC) simulation for Bayesian inference. Full Product DetailsAuthor: Hao Zhang (Purdue University, West Lafayette, Indiana, USA)Publisher: Taylor & Francis Inc Imprint: Chapman & Hall/CRC ISBN: 9781584886990ISBN 10: 1584886994 Pages: 320 Publication Date: 25 May 2012 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationPurdue University, West Lafayette, Indiana, USA Tab Content 6Author Website:Countries AvailableAll regions |
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