Multivariable spatial prediction
Abstract
For spatial prediction, it has been usual to predict one variable at a time, with the predictor using data from the same type of variable (kriging) or using additional data from auxiliary variables (cokriging). Optimal predictors can be expressed in terms of covariance functions or variograms. In earth science applications, it is often desirable to predict the joint spatial abundance of variables. A review of cokriging shows that a new...
Paper Details
Title
Multivariable spatial prediction
Published Date
Feb 1, 1993
Journal
Volume
25
Issue
2
Pages
219 - 240
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