Customer Reviews

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

5 star:		(2)
4 star:		(0)
3 star:		(1)
2 star:		(0)
1 star:		(0)

 

 

Highly recommended! This is easily the most comprehensive, scholarly, and up-to-date work in the area.

The authors cover the entire range of geostatistics - structural analysis (variogram fitting), kriging, multivariate and nonlinear methods, conditional simulation, scale effects, and inverse problems. The chapter on geostatistical simulation is particularly impressive, and much unpublished work of Georges Matheron and the Center for Geostatistics at Fontainebleau, France, is made available here for the first time. Practical and theoretical aspects of geostatistics balance each other very nicely.

This is not an introductory text - there are other books in the area which are custom-tailored to beginners - but it is an invaluable, and very carefully written, reference. For anyone applying geostatistical techniques in environmental sciences, earth sciences, engineering, or related fields, this book is a must-have!

There are a large number of books on geostatistics, usually introductory books dealing with parts of the subject. The volume by Chiles and Delfiner is THE comprehensive reference book in geostatistics that has been missing up to now.

It covers every part of geostatistics. After a useful introduction and preliminaries, different chapters are devoted successively to structural analysis, kriging, the intrinsic model of order k, multivariate methods, nonlinear methods, conditional simulations, scale effects and inverse problems.

Within each section, the book offers an accurate perspective of the different geostatistical methods. Practical approaches as well as theoretical developments are jointly considered, providing a sound basis to the user.

The writing is fluent, with an extensive documentation and a most helpful index.

The book will benefit those who want to know more about a specific method, as well as those who are looking for different approaches to a given problem. It will be valuable for academics and students, as well as scientists, engineers and practitioners from different domains such as mining, hydrogeology, oil exploration, soil science, forestry, and environmental sciences.

I found this book a little bit cheaper than the regular prize. When I got it I noticed the printing and paper quality are lower than the older books. Anyway, it is a good reference for conventional Geostatistics.