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ID 19714
Eprint ID
19714
FullText URL
Author
Choi, Seung Bae
Tanaka, Yutaka
Abstract
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.
Keywords
Stationary
Variogram
UK
MPK
LOESS
Published Date
1999-02-26
Publication Title
岡山大学環境理工学部研究報告
Publication Title Alternative
Journal of the Faculty of Environmental Science and Technology, Okayama University
Volume
volume4
Issue
issue1
Publisher
岡山大学環境理工学部
Publisher Alternative
Faculty of Environmental Science and Technology, Okayama University
Start Page
37
End Page
55
ISSN
1341-9099
NCID
AN10529213
Content Type
Departmental Bulletin Paper
Related Url
http://www.okayama-u.ac.jp/user/est/homejapan.html
language
英語
File Version
publisher
Refereed
False
Eprints Journal Name
fest