Interpolation Of Spatial Data
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Interpolation of Spatial Data
Author: Michael L. Stein
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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.
Interpolation of Spatial Data
Author: Michael L. Stein
language: en
Publisher: Springer Science & Business Media
Release Date: 1999-06-22
A summary of past work and a description of new approaches to thinking about kriging, commonly used in the prediction of a random field based on observations at some set of locations in mining, hydrology, atmospheric sciences, and geography.
Spatial Interpolation for Climate Data
This title gives an authoritative look at the use of Geographical Information Systems (GIS) in climatology and meterology. GIS provides a range of strategies, from traditional methods, such as those for hydromet database analysis and management, to new developing methods. As such, this book will provide a useful reference tool in this important aspect of climatology and meterology study.