岡山大学 地球科学研究報告
Published by Okayama University Earth Science Reports Editorial Committee

瀬戸内海中部上空におけるSPM濃度分布の推定

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
ISSN
1340-7414
NCID
AN10506284
NAID