ID | 49210 |
JaLCDOI | |
Sort Key | 6
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タイトル(別表記) | Estimation of SPM concentration distribution over the central Seto Inland Sea
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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
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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.
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キーワード | Ordinary Kriging
Regression Kriging
Auxiliary variable
R-Language
Google Earth
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出版物タイトル |
Okayama University Earth Science Report
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発行日 | 2012-12-26
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巻 | 19巻
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号 | 1号
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出版者 | 岡山大学理学部地球科学教室
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出版者(別表記) | Department of Earth Sciences, Faculty of Science, Okayama University
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開始ページ | 19
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終了ページ | 24
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ISSN | 1340-7414
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NCID | AN10506284
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
日本語
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著作権者 | © 2012 by Okayama University Earth Science Reports Editorial Committee All Rights Reserved
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論文のバージョン | publisher
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査読 |
無し
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NAID | |
Eprints Journal Name | esr
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