Land Use Quantile Regression Modeling of Fine Particulate Matter in Australia

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

Internet

http://purl.org/au-research/grants/arc/DE170101502
http://hdl.handle.net/20.500.11937/90761

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