Factor analysis for aerosol optical depth and its prediction from the perspective of land-use change

• Main Authors: ZHANG, Wenting, HE, Qingqing, WANG, Haijun, CAO, Kai, HE, Sanwei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Aerosol optical depth; Wuhan agglomeration; Geographically weighted regression; Land use; Databases and Information Systems; Demography, Population, and Ecology
• Online Access: https://ink.library.smu.edu.sg/sis_research/5421; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6424&context=sis_research
• Institution: Singapore Management University

This paper presents the non-stationarity and autocorrelation (with a Moran’s I index score of 0.75) of the MODISretrieved aerosol optical depth (AOD) of the Wuhan agglomeration (WHA) in Central China, using geographically weighted regression (GWR) to identify the spatial relationships between AOD an...