このエントリーをはてなブックマークに追加


ID 53192
JaLCDOI
Sort Key
3
Title Alternative
A high precision and high resolution estimation of the spatial distribution of PM2.5 in the south area of Okayama prefecture, Japan
FullText URL
Author
Omori, Akiho
Abstract
 A relatively high precision and high resolution spatial distribution of the PM2.5 in the south part of the Okayama prefecture, Japan was estimated by the Universal Kriging method and the FOSS4G GIS softwares. The observation data of the PM2.5 were obtained from the Environmental data service site of the Okayama prefecture. The geospatial open data about the research field that used in the research were served by the government research institutes. The spatial analysis were executed by the R (R core team, 2014) and its spatial libraries, maptools (Bivand and Lewin-Koh, 2014), rgdal (Bivand, Keitt and Rowlingson, 2014) and gstat (Pebesma, 2014). The geospatial representation and qualitative analysis of the estimated distribution were performed by the QGIS (QGIS Development Team, 2014) and the Google earth (Google, 2014). The time variant of the PM2.5 concentration by the each observatories in the area were show some cross correlation factor to the SPM10 concentration data. The estimated PM2.5 distribution seems to show that the relatively tight relation to the geospatial factors in the research area. The estimation of a time variant change of the PM2.5 distribution will be required of the further research..
Keywords
PM2.5
Spatial statistics
Kriging
R-language
gstat
FOSS4G
Google earth
Publication Title
Okayama University Earth Science Report
Published Date
2014-12-27
Volume
volume21
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
1
End Page
5
ISSN
1340-7414
NCID
AN10506284
Content Type
Departmental Bulletin Paper
OAI-PMH Set
岡山大学
language
Japanese
Copyright Holders
© 2014 by Okayama University Earth Science Reports Editorial Committee All Rights Reserved
File Version
publisher
Refereed
False
NAID
Eprints Journal Name
esr