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Interpolation of Spatial Data : Some Theory for Kriging - Michael L. Stein

Interpolation of Spatial Data

Some Theory for Kriging

By: Michael L. Stein

eText | 6 December 2012

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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.
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Published: 17th October 2012

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