ID 49210
JaLCDOI
タイトル(別表記)
Estimation of SPM concentration distribution over the central Seto Inland Sea
フルテキストURL
著者
海老 貴宏 岡山大学大学院自然科学研究科地球科学専攻
松本 宏文 岡山大学大学院自然科学研究科地球科学専攻
山川 純次 岡山大学大学院自然科学研究科地球科学専攻
抄録
Ordinary Kriging, OK, and Regression Kriging, RK, are the spatial statistical methods that are possible to estimate a horizontal distribution in a study area from discrete data. OK is the method which takes account of only spatial auto-correlation structure of the data, while RK is the method which takes account of an interrelationship between spatial auto-correlation structure and some auxiliary variables to minimize the estimation error. Analytical processing for OK and RK methods was performed by the R-Language (R Core Team, 2012) and its some additional libraries. The auxiliary variables required to perform RK method were prepared by a GIS application, Quantum GIS (Quantum GIS Development Team, 2012). The 3-dimensional geographic representation of the estimation maps was performed by the Google Earth (Google, 2012). In this report, OK and RK methods were applied to one of the Earth scientific information, SPM (Supended Particulate Matter). Then, these methods were considered by comparing two estimation maps, and finally considered qualitatively by displaying these maps in the Google Earth.
キーワード
Ordinary Kriging
Regression Kriging
Auxiliary variable
R-Language
Google Earth
出版物タイトル
Okayama University Earth Science Report
発行日
2012-12-26
19巻
1号
出版者
岡山大学理学部地球科学教室
出版者(別表記)
Department of Earth Sciences, Faculty of Science, Okayama University
開始ページ
19
終了ページ
24
ISSN
1340-7414
NCID
AN10506284
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
Japanese
著作権者
© 2012 by Okayama University Earth Science Reports Editorial Committee All Rights Reserved
論文のバージョン
publisher
査読
無し
NAID
Sort Key
6
Eprints Journal Name
esr
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