Random Field Models in Earth Sciences (New Ed.)
Date of Publication:
4 February 2005
This book (first published in 1992) explores the application of random field models and stochastic data processing to problems in geostatistics, hydrogeology, climate modeling, atmospheric data analysis, mining and oil reservoir engineering, among others.
CONTENTS: Prolegomena. The Spatial Random Field Model. The Intrinsic Spatial Random Field Model. The Factorable Random Field Model. The Spatiotemporal Random Field Model. Space Transformations of Random Fields. Random Field Modelling of Natural Processes. Simulation of Natural Processes. Estimation in Space and Time. Sampling Design. References. Index.
FEATURES Researchers in the geosciences who work with models of natural processes will find discussions on: - Spatiotemporal random fields. - Space transformations. - Multidimensional space/time estimation and mapping. - Wiener-Kolmogorov stochastic interpolation. - Kriging techniques. - Kalman filters. - Space/time simulation. - Entropic analysis and sysketograms. - Sampling Design. - Decision making and information functions. - Stochastic partial differential equations.