Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia

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Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia

Small data samples are still a critical challenge for spatial predictions. Land use regression (LUR) is a widely used model for spatial predictions with observations at a limited number of locations. Studies have demonstrated that LUR models can overcome the limitation exhibited by other spatial pre...

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Bibliographic Details
Main Authors:	Wu, Peng, Song, Yongze
Format:	Journal Article
Language:	English
Published:	MDPI 2022
Subjects:	Science & Technology Life Sciences & Biomedicine Physical Sciences Technology Environmental Sciences Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Geology land use quantile regression (LUQR) spatial prediction spatial associations air pollution PM2.5 traffic emissions CALIFORNIA MATRIX PM10
Online Access:	http://purl.org/au-research/grants/arc/DE170101502 http://hdl.handle.net/20.500.11937/90761

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