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Interpolation of Spatial Data: Some Theory for Kriging
M. L. Stein
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Description for Interpolation of Spatial Data: Some Theory for Kriging
paperback. Series: Springer Series in Statistics. Num Pages: 266 pages, biography. BIC Classification: PBT; RBG; RG. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 421.
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.
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.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
266
Condition
New
Series
Springer Series in Statistics
Number of Pages
249
Place of Publication
New York, NY, United States
ISBN
9781461271666
SKU
V9781461271666
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Interpolation of Spatial Data: Some Theory for Kriging
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."