Geostatistics: Modeling Spatial Uncertainty

Chilès, Jean-Paul; Delfiner, Pierre

ISBN 10: 0470183152 / ISBN 13: 9780470183151

Edité par Wiley, 2012

A propos de cet article

An acceptable and readable copy. All pages are intact, and the spine and cover are also intact. This item may have light highlighting, writing or underlining through out the book, curled corners, missing dust jacket and or stickers.

N° de réf. du vendeur 467UX0000FDU

Détails bibliographiques

• Titre: Geostatistics: Modeling Spatial Uncertainty
• Éditeur: Wiley
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 0470183152
• ISBN à 13 chiffres: 9780470183151
• Reliure: Couverture rigide
• Édition: 2ème Édition
• État de l'article: Acceptable

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Jean-Paul Chilès is Deputy Director of the Center of Geosciences and Geoengi neering at MINES ParisTech, France.

Pierre Delfiner is Principal of PetroDecisions, a consulting firm based in Paris, France.