Spatiotemporal Random Fields: Theory and Applications, Second Edition, provides readers with a new and updated edition of the text that explores the application of random field models and stochastic data processing to problems in hydrogeology, geostatistics, climate modeling, and oil reservoir engineering, among others. The new edition features considerable detail of random field theory, including ordinary and generalized, as well as spatial and spatiotemporal approaches.
Presenting new theoretical and applied results, with particular emphasis on integrated spatiotemporal analysis, this book highlights the key role of space-time metrics, the physical interpretation of stochastic differential equations, higher-order space-time dependence functions, the validity of major theoretical assumptions in real-world practice (covariance positive-definiteness, metric-adequacy etc.), and the emergence of interdisciplinary phenomena in conditions of multi-sourced real-world uncertainty.
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