An eigenvector spatial filtering based spatially varying coefficient model for PM2.5 concentration estimation: A case study in Yangtze River Delta region of China
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DOI: 10.1016/j.atmosenv.2019.117205
Abstract: Abstract Ordinary interpolation using PM2.5 ground monitoring observations can seldom reveal the PM2.5 concentration distribution characteristics due to the uneven distribution of monitoring stations and because ordinary linear regression often neglects the spatial autocorrelation among… read more here.
Keywords: esf svc; eigenvector spatial; model; concentration ... See more keywords