Semi-Physical Estimates of National-Scale PM₁₀ Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model

By Zhang Tianhao   Gong Wei   Zhu Zhongmin   Sun Kun   Huang Yusi   Ji Yuxi  

Atmosphere, Vol. 7, Iss. 7, 2016-06 ,pp. : 88-88

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A Geographically and Temporally Weighted Regression Model for Ground-Level PM_2.5 Estimation from Satellite-Derived 500 m Resolution AOD

By Bai Yang   Wu Lixin   Qin Kai   Zhang Yufeng   Shen Yangyang   Zhou Yuan  

Remote Sensing, Vol. 8, Iss. 3, 2016-03 ,pp. : 262-262

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Ground Level PM_2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO₂ and Enhanced Vegetation Index (EVI)

By Zhang Tianhao   Gong Wei   Wang Wei   Ji Yuxi   Zhu Zhongmin   Huang Yusi  

International Journal of Environmental Research and Public Health, Vol. 13, Iss. 12, 2016-12 ,pp. : 1215-1215

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Construction of a Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) Model and Comparative Analysis with GWR-Based Models for Hemorrhagic Fever with Renal Syndrome (HFRS) in Hubei Province (China)

By Ge Liang   Zhao Youlin   Sheng Zhongjie   Wang Ning   Zhou Kui   Mu Xiangming   Guo Liqiang   Wang Teng   Yang Zhanqiu   Huo Xixiang  

International Journal of Environmental Research and Public Health, Vol. 13, Iss. 11, 2016-10 ,pp. : 1062-1062

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Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model

By Wu Liang   Deng Fei   Xie Zhong   Hu Sheng   Shen Shu   Shi Junming   Liu Dan  

International Journal of Environmental Research and Public Health, Vol. 13, Iss. 11, 2016-11 ,pp. : 1125-1125

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