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@article{ART002427327},
author={Changwoo Jeon and Cho, Daeheon and ZHU LEI},
title={Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)},
journal={Journal of the Korean Cartographic Association},
issn={1598-6160},
year={2018},
volume={18},
number={3},
pages={91-104},
doi={10.16879/jkca.2018.18.3.091}

TY - JOUR
AU - Changwoo Jeon
AU - Cho, Daeheon
AU - ZHU LEI
TI - Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)
JO - Journal of the Korean Cartographic Association
PY - 2018
VL - 18
IS - 3
PB - The Korean Cartographic Association
SP - 91
EP - 104
SN - 1598-6160
AB - Recently, people are giving more attention to the high concentration of particulate matter (PM10). The distribution of PM10 depends on spaces and the occurrence is also different according to regions. In spite of these, the government does not take the difference into account and implement identical policies in order to reduce the concentration of PM10, Therefore, there is a need for a research which reflects the spatial heterogeneity. This research analyzes spatial patterns of PM10 concentration considering both natural and human factors using OLS, GWR, and GWRR. The findings are as follows. First, the OLS analysis has found, in case of natural factor, low precipitation, atmosphere stagnation, and low ambient are the major contributors causing the high concentration of PM10. In case of human factors, they are relevant to the amount of PM10. Second, GWRR analysis shows that factors influencing on the distribution of PM10 and the degree vary according to sub-regions. Third, by comparing the three methods, GWRR shows the best performance and it has been identified that GWRR can be applied for not only PM, but also various atmospheric pollutants.
KW - Particulate matter;Spatial heterogeneity;Geographically weighted regression (GWR);Geographically weighted ridge regression (GWRR)
DO - 10.16879/jkca.2018.18.3.091
ER -

Changwoo Jeon, Cho, Daeheon and ZHU LEI. (2018). Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR). Journal of the Korean Cartographic Association, 18(3), 91-104.

Changwoo Jeon, Cho, Daeheon and ZHU LEI. 2018, "Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)", Journal of the Korean Cartographic Association, vol.18, no.3 pp.91-104. Available from: doi:10.16879/jkca.2018.18.3.091

Changwoo Jeon, Cho, Daeheon, ZHU LEI "Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)" Journal of the Korean Cartographic Association 18.3 pp.91-104 (2018) : 91.

Changwoo Jeon, Cho, Daeheon, ZHU LEI. Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR). 2018; 18(3), 91-104. Available from: doi:10.16879/jkca.2018.18.3.091

Changwoo Jeon, Cho, Daeheon and ZHU LEI. "Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)" Journal of the Korean Cartographic Association 18, no.3 (2018) : 91-104.doi: 10.16879/jkca.2018.18.3.091

Changwoo Jeon; Cho, Daeheon; ZHU LEI. Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR). Journal of the Korean Cartographic Association, 18(3), 91-104. doi: 10.16879/jkca.2018.18.3.091

Changwoo Jeon; Cho, Daeheon; ZHU LEI. Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR). Journal of the Korean Cartographic Association. 2018; 18(3) 91-104. doi: 10.16879/jkca.2018.18.3.091

Changwoo Jeon, Cho, Daeheon, ZHU LEI. Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR). 2018; 18(3), 91-104. Available from: doi:10.16879/jkca.2018.18.3.091

Changwoo Jeon, Cho, Daeheon and ZHU LEI. "Exploring the Spatial Heterogeneity of Particulate Matter (PM10) using Geographically Weighted Ridge Regression (GWRR)" Journal of the Korean Cartographic Association 18, no.3 (2018) : 91-104.doi: 10.16879/jkca.2018.18.3.091