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ID 19714
Eprint ID
19714
フルテキストURL
著者
崔 承培 岡山大学
田中 豊 岡山大学
抄録
One of major problems in spatial analysis is to estimate the value z(s(0)) at an unknown location s(0) using the information about observations z(s(α)), α = 1,…,n. In this article, we will perform a numerical study about some methods for this problem. That is, we examine both the tranditional statistical method which does not take into account spatial correlation and the spatial statistical method which takes into account spatial correlation by applying them to a set of non-stationary spatial data. We compare the predictive powers of these methods. More precisely, we choose Universal Kriging(UK) and Median-Polish Kriging(MPK) as spatial statistical methods, and locally weighted regression or LOESS as a traditional method. As the major criterion for comparison, we use the so-called PRESS statistic, and also draw the prediction surface plot and the prediction standard error surface plot as minor criteria. A real numerical example of non-stantionary spatial data is analyzed for the comparison among the above three methods.
キーワード
Stationary
Variogram
UK
MPK
LOESS
発行日
1999-02-26
出版物タイトル
岡山大学環境理工学部研究報告
出版物タイトル(別表記)
Journal of the Faculty of Environmental Science and Technology, Okayama University
4巻
1号
出版者
岡山大学環境理工学部
出版者(別表記)
Faculty of Environmental Science and Technology, Okayama University
開始ページ
37
終了ページ
55
ISSN
1341-9099
NCID
AN10529213
資料タイプ
紀要論文
関連URL
http://www.okayama-u.ac.jp/user/est/homejapan.html
言語
English
論文のバージョン
publisher
査読
無し
Eprints Journal Name
fest