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A Space Model to Annual Rainfall in South Korea
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 Title & Authors
A Space Model to Annual Rainfall in South Korea
Lee, Eui-Kyoo;
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 Abstract
Spatial data are usually obtained at selected locations even though they are potentially available at all locations in a continuous region. Moreover the monitoring locations are clustered in some regions, sparse in other regions. One important goal of spatial data analysis is to predict unknown response values at any location throughout a region of interest. Thus, an appropriate space model should be set up and their estimates and predictions must be accompanied by measures of uncertainty. In this study we see that a space model proposed allows a best interpolation to annual rainfall data in South Korea.
 Keywords
Kriging;Semivariogram;Nonlinear Least Squares;BLUP;
 Language
Korean
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