Geostatistics: Modeling Spatial Uncertainty (Wiley Series in Probability and Statistics) - Hardcover

Chilès, Jean-Paul; Delfiner, Pierre

Hardcover

ISBN 10: 0470183152 ISBN 13: 9780470183151

Publisher: Wiley, 2012

Synopsis

This second edition of one of the best-selling books on geostatistics provides through updates from two authoritative authors with over twenty years of experience in the field. It removes information and data that have lost relevance with time while maintaining timeless, core methods and integrating them with new developments to the field. The authors employ an applied focus on new aspects of geostatistics, including kernal methods, extreme values geostatistics, and modeling in geo-chronologic space. It can be used as a reference book for geostatisticians, physicists, and earth scientists in both industry and academia and as a supplemental text in related couses at the Ph.D level.

About this title

Review

"All who aspire to geostatistical competence should have this book to hand." (European Journal of Soil Science, 1 April 2013)

"In summary, a worthwhile investment." (Zentralblatt MATH, 1 May 2013)

"Summarizing, Chile's and Delfiner's book certainly deserves recommendation to anyone interested in geostatistics, either as a geostatician or as a researcher in modeling spatial uncertainty." (Computers & Geosciences, 1 February 2013)

From the Back Cover

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 geostatistics

• Newly formed connections between geostatistics and other approaches such as radial basis functions, Gaussian Markov random fields, and data assimilation

• New perspectives on topics such as collocated cokriging, kriging with an external drift, discrete Gaussian change–of–support models, and simulation algorithms

Geostatistics, 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.

Edition details

• Publisher: Wiley
• Publication date: 2012
• ISBN 10: 0470183152
• ISBN 13: 9780470183151
• Binding: Hardcover
• Language: English
• Edition number: 2
• Number of pages: 744