Modeling the Determinants of PM2.5 in China Considering the Localized Spatiotemporal Effects: A Multiscale Geographically Weighted Regression Method

Modeling the Determinants of PM2.5 in China Considering the Localized Spatiotemporal Effects: A Multiscale Geographically Weighted Regression Method

Many studies have identified the influences of PM2.5. However, very little research has addressed the spatiotemporal dependence and heterogeneity in the relationships between impact factors and PM2.5. This study firstly utilizes spatial statistics and time series analysis to investigate the spatial...

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Bibliographic Details
Main Authors: Han Yue, Lian Duan, Mingshen Lu, Hongsheng Huang, Xinyin Zhang, Huilin Liu
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Atmosphere
Subjects:
PM2.5
spatial dependence
temporal dependence
spatial heterogeneity
multiscale geographically weighted regression
Online Access:https://www.mdpi.com/2073-4433/13/4/627

Internet

https://www.mdpi.com/2073-4433/13/4/627

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