@article{ART002601156},
author={Jeong, Jong Chul},
title={Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA},
journal={The Korea Spatial Planning Review},
issn={1229-8638},
year={2020},
volume={105},
pages={3-14},
doi={10.15793/kspr.2020.105..001}
TY - JOUR
AU - Jeong, Jong Chul
TI - Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA
JO - The Korea Spatial Planning Review
PY - 2020
VL - 105
IS - null
PB - 국토연구원
SP - 3
EP - 14
SN - 1229-8638
AB - For optimal new PM(Particulate Matter) monitoring locations, it is important to consider the spatial distribution between monitoring station and user along with the accessibility. This study used spatial analysis to analyze the shortest distance among the centers of administrative dong and PM monitoring stations to show the influence of PM monitoring stations. In addition, this research suggested the new PM monitoring location through distance analysis and kernel density estimation of PM monitoring stations and public facilities such as community service center. This study proposed the method to select new PM monitoring station from an area outside the scope of the existing PM monitoring station, without showing redundancy with the existing network. Then the principal component analysis was performed in order to determine the priority PM monitoring stations that have a higher value for environment variables and kernel density estimation related to PM. The new PM monitoring stations suggested in this study will provide the more improved PM measured value service for users than the conventional PM monitoring network.
KW - Particulate Matter;Monitoring Stations Network;Kernel Density Estimation;Optimal Location;Principal Component Analysis
DO - 10.15793/kspr.2020.105..001
ER -
Jeong, Jong Chul. (2020). Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA. The Korea Spatial Planning Review, 105, 3-14.
Jeong, Jong Chul. 2020, "Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA", The Korea Spatial Planning Review, vol.105, pp.3-14. Available from: doi:10.15793/kspr.2020.105..001
Jeong, Jong Chul "Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA" The Korea Spatial Planning Review 105 pp.3-14 (2020) : 3.
Jeong, Jong Chul. Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA. 2020; 105 3-14. Available from: doi:10.15793/kspr.2020.105..001
Jeong, Jong Chul. "Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA" The Korea Spatial Planning Review 105(2020) : 3-14.doi: 10.15793/kspr.2020.105..001
Jeong, Jong Chul. Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA. The Korea Spatial Planning Review, 105, 3-14. doi: 10.15793/kspr.2020.105..001
Jeong, Jong Chul. Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA. The Korea Spatial Planning Review. 2020; 105 3-14. doi: 10.15793/kspr.2020.105..001
Jeong, Jong Chul. Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA. 2020; 105 3-14. Available from: doi:10.15793/kspr.2020.105..001
Jeong, Jong Chul. "Suitability Analysis of Optimal PM Monitoring Stations Using Kernel Density Function and PCA" The Korea Spatial Planning Review 105(2020) : 3-14.doi: 10.15793/kspr.2020.105..001
