Japan Geoscience Union Meeting 2015

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Symbol H (Human Geosciences) » H-TT Technology & Techniques

[H-TT32] Geographical Information Systems

Tue. May 26, 2015 11:00 AM - 12:45 PM 203 (2F)

Convener:*Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo), Yuji Murayama(Graduate School of Life and Environmental Sciences), Ryosuke Shibasaki(Center for Spatial Information Science, the University of Tokyo), Shin Yoshikawa(Faculty of Engineering, Osaka Institute of Technology), Chair:Shin Yoshikawa(Faculty of Engineering, Osaka Institute of Technology), Mamoru Koarai(Surving Department, College of Land, Infrastructure, Transport and Tourism)

11:45 AM - 12:00 PM

★ [HTT32-04] A high-resolution estimation of the PM2.5 distribution by the R and the GIS applications

Akiho OMORI1, *Junji YAMAKAWA1 (1.Graduate School of Natural Science and Technology, Okayama University)

Keywords:PM2.5, Spatial statistics, Kriging, R-language, gstat, FOSS4G

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, 201 4), rgdal (Bivand, Keitt and Rowlingson, 201 4) and gstat (Pebesma, 201 4). The geospatial representation and qualitative analysis of the estimated distribution were performed by the QGIS (QGIS Development Team, 2014) and the Google earth (Google, 2015). The time variant of the PM2.5 concentration by the each observatories in the area were show some correlation 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.