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.
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"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
"...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
Book Description
Introduction to Geostatistics presents practical techniques for engineers and applied geophysicists 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 presents linear estimation methods for practitioners and advanced students. Well illustrated with exercises and worked examples, taken from hydrogeology Introduction to Geostatistics is suitable for graduate-level courses in earth sciences and environmental engineering, and also for self-study.
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great,
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This review is from: Introduction to Geostatistics: Applications in Hydrogeology (Stanford-Cambridge Program) (Paperback)
Excellent textbook! Covers all the fundamentals in a straightforward style and great examples. A must have for introductory geostatistics although may need other texts if you want to dig a little deeper.
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Inside This Book
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First Sentence:
It is difficult and expensive to collect the field observations that an environmental engineer or hydrogeologist needs to answer an engineering or scientific question. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
It is difficult and expensive to collect the field observations that an environmental engineer or hydrogeologist needs to answer an engineering or scientific question. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 24
books:
See all 24 books this book cites
3
books
cite this book:
- Geostatistics for natural resources characterization (NATO Asi Series. Series C, Mathematical and Physical Science) (Pt. 2) by G. Verly on 4 pages
- Advanced Geostatistics in the Mining Industry (NATO Science Series C: (closed)) by M. Guarascio in Back Matter (1), and Back Matter (2)
- Numerical Recipes: The Art of Scientific Computing by William H. Press in Back Matter
- Statistics for Spatial Data (Wiley Series in Probability and Statistics) by Noel Cressie in Back Matter
- Probability, statistics, and decision for civil engineers. by Jack R., and C. Allin Cornell Benjamin in Back Matter
See all 24 books this book cites
- Geostatistics for Estimating Fish Abundance by J. Rivoirard in Back Matter
- Applied Stochastic Hydrogeology by Yoram Rubin in Back Matter
- Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics) by David Ruppert in Back Matter
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