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.

Promotional Information

This presents practical techniques for interpolation and estimation problems when analysing data from field observations.

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