Interpolation of Spatial Data
Some Theory for Kriging
Authors: Stein, Michael L.
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- About this book
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Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors under a particular model for the field, is commonly used in all these areas of prediction. This book summarizes past work and describes new approaches to thinking about kriging.
- Reviews
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From a review:
GEODERMA
"the book is written with great care and dedication. Soil geostatisticians that are not easily scared off by mathematics will find this book to be a rich source of inspiration for many years to come."
- Table of contents (6 chapters)
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Linear Prediction
Pages 1-14
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Properties of Random Fields
Pages 15-56
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Asymptotic Properties of Linear Predictors
Pages 57-108
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Equivalence of Gaussian Measures and Prediction
Pages 109-143
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Integration of Random Fields
Pages 144-159
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Table of contents (6 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Interpolation of Spatial Data
- Book Subtitle
- Some Theory for Kriging
- Authors
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- Michael L. Stein
- Series Title
- Springer Series in Statistics
- Copyright
- 1999
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4612-1494-6
- DOI
- 10.1007/978-1-4612-1494-6
- Hardcover ISBN
- 978-0-387-98629-6
- Softcover ISBN
- 978-1-4612-7166-6
- Series ISSN
- 0172-7397
- Edition Number
- 1
- Number of Pages
- XVII, 249
- Topics
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