Introduction to Geostatistics: Applications in Hydrogeology

by P. K. Kitanidis

Overview

Introduction to Geostatistics presents practical techniques for engineers and earth scientists who routinely encounter interpolation and estimation problems when analyzing data from field observations. Requiring no background in statistics, and with a unique approach that synthesizes classic and geostatistical methods, this book offers linear estimation methods for practitioners and advanced students. Well illustrated with exercises and worked examples, Introduction to Geostatistics is designed for graduate-level courses in earth sciences and environmental engineering.

Product Details

ISBN-13:	9780521587471
Publisher:	Cambridge University Press
Publication date:	05/13/1997
Series:	Stanford-Cambridge Program
Edition description:	New Edition
Pages:	272
Product dimensions:	6.02(w) x 9.06(h) x 0.67(d)

Table of Contents

1. Introduction; 2. Exploratory data analysis; 3. Intrinsic model; 4. Variogram fitting; 5. Anisotropy; 6. Variable mean; 7. More linear estimation; 8. Multiple variables; 9. Estimation and GW models; A. Probability theory review; B. Lagrange multipliers; C. Generation of realizations.

Editorial Reviews

"Whether a novice or an experienced geostatistical analyst, this book is a welcome addition to one's library because of its emphasis on combining sound statistical practice with external scientific knowledge of field characteristics, soil chemistry, or flow dynamics." Richard F. Gunst, Bulletin of American Meteorological Society "The author sets an enviable standard with this exposition of spatial statistical methods in a hydrogeological setting." Bulletin of the American Meteorological Society

"...Kitanidis often produces clear and insightful explanations. I would welcome a second edition...eleborating on those topics in which Kitanidis is a leading researcher, particularly in the incorporation of geostatistical concepts into the groundwater inverse problem." Computers & Geosciences

"This book is a good reference, especially for those with limited knowledge in the application of linear estimation methods in statistical modeling." The Leading Edge

From the Publisher