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(Ebook) Geostatistics: Modeling Spatial Uncertainty, Second Edition by Jean?Paul Chiles, Pierre Delfiner(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.) ISBN 9780470183151, 9781118136188, 0470183152, 1118136187

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Instant download (eBook) Geostatistics: Modeling Spatial Uncertainty, Second Edition after payment.
Authors:Jean?Paul Chiles, Pierre Delfiner(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)
Pages:731 pages.
Year:2012
Publisher:Wiley
Language:english
File Size:6.74 MB
Format:pdf
ISBNS:9780470183151, 9781118136188, 0470183152, 1118136187
Categories: Ebooks

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(Ebook) Geostatistics: Modeling Spatial Uncertainty, Second Edition by Jean?Paul Chiles, Pierre Delfiner(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.) ISBN 9780470183151, 9781118136188, 0470183152, 1118136187

Praise for the First Edition". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." ?Mathematical Geosciences The state of the art in geostatistics Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field. The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear and nonlinear methods; change of support; multivariate approaches; and conditional simulations. The Second Edition highlights the growing number of applications of geostatistical methods and discusses three key areas of growth in the field: New results and methods, including kriging very large datasets; kriging with outliers; nonse??parable space-time covariances; multipoint simulations; pluri-gaussian simulations; gradual deformation; and extreme value geostatisticsNewly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilationNew perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change-of-support models, and simulation algorithmsGeostatistics, Second Edition is an excellent book for courses on the topic at the graduate level. It also serves as an invaluable reference for earth scientists, mining and petroleum engineers, geophysicists, and environmental statisticians who collect and analyze data in their everyday work.Content: Chapter 1 Preliminaries (pages 11–27): Chapter 2 Structural Analysis (pages 28–146): Chapter 3 Kriging (pages 147–237): Chapter 4 Intrinsic Model of Order k (pages 238–298): Chapter 5 Multivariate Methods (pages 299–385): Chapter 6 Nonlinear Methods (pages 386–477): Chapter 7 Conditional Simulations (pages 478–628):
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