1 62
ID 49210
JaLCDOI
Sort Key
6
Title Alternative
Estimation of SPM concentration distribution over the central Seto Inland Sea
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Author
Ebi, Takahiro
Matsumoto, Hirofumi
Abstract
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.
Keywords
Ordinary Kriging
Regression Kriging
Auxiliary variable
R-Language
Google Earth
Publication Title
Okayama University Earth Science Report
Published Date
2012-12-26
Volume
volume19
Issue
issue1
Publisher
岡山大学理学部地球科学教室
Publisher Alternative
Department of Earth Sciences, Faculty of Science, Okayama University
Start Page
19
End Page
24
ISSN
1340-7414
NCID
AN10506284
Content Type
Departmental Bulletin Paper
OAI-PMH Set
岡山大学
language
Japanese
Copyright Holders
© 2012 by Okayama University Earth Science Reports Editorial Committee All Rights Reserved
File Version
publisher
Refereed
False
NAID
Eprints Journal Name
esr