Rilegato

ISBN 10: 0471083151 ISBN 13: 9780471083153

Casa editrice: Wiley-Interscience, 1999

A novel, practical approach to modeling spatial uncertainty.

This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.

Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume:
* Reviews the most up-to-date geostatistical methods and the types of problems they address.
* Emphasizes the statistical methodologies employed in spatial estimation.
* Presents simulation techniques and digital models of uncertainty.
* Features more than 150 figures and many concrete examples throughout the text.
* Includes extensive footnoting as well as a thorough bibliography.

Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.

About the Author:

JEAN-PAUL CHILéS is a senior research scientist with the Bureau de Recherches Géologiques et Miniéres (the French Geological Survey) in Orleans, France.

PIERRE DELFINER is a scientific advisor in geosciences with Total Exploration Production in Paris, France.

Review:

"This is a book that the geostatistical community has been waiting for long since" "I can recommend anyone interested in geostatistics to get the volume...I am convinced that it will be the volume to cite in the next decade or more." (Journal of Geodsy, November 2000)

Reviews the most up-to-date geostatistical methods and the types of problems they address. Emphasizes the statistical methodologies employed in spatial estimation. Presents simulation techniquesand digital models of uncertainty.

"...a readable, comprehensive volume that should be useful for many years. It belongs on the desk, close at hand, of any serious researcher or practitioner." (Mathematical Geology, Vol. 35, No. 3April 2003)