Interpolation of Spatial Data (original) (raw)
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Authors:
- Michael L. Stein
- Department of Statistics, University of Chicago, Chicago, USA
- 25k Accesses
- 2057 Citations
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About this book
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.
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Table of contents (6 chapters)
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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."
Authors and Affiliations
Department of Statistics, University of Chicago, Chicago, USA
Michael L. Stein
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Bibliographic Information
- Book Title: Interpolation of Spatial Data
- Book Subtitle: Some Theory for Kriging
- Authors: Michael L. Stein
- Series Title: Springer Series in Statistics
- DOI: https://doi.org/10.1007/978-1-4612-1494-6
- Publisher: Springer New York, NY
- eBook Packages: Springer Book Archive
- Copyright Information: Springer Science+Business Media New York 1999
- Hardcover ISBN: 978-0-387-98629-6Published: 22 June 1999
- Softcover ISBN: 978-1-4612-7166-6Published: 17 October 2012
- eBook ISBN: 978-1-4612-1494-6Published: 06 December 2012
- Series ISSN: 0172-7397
- Series E-ISSN: 2197-568X
- Edition Number: 1
- Number of Pages: XVII, 249
- Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Geology, Geography, general, Earth Sciences, general