Estimating Regional PM<sub>2.5</sub> Concentrations in China Using a Global-Local Regression Model Considering Global Spatial Autocorrelation and Local Spatial Heterogeneity
Linear regression models are commonly used for estimating ground PM<sub>2.5</sub> concentrations, but the global spatial autocorrelation and local spatial heterogeneity of PM<sub>2.5</sub> distribution are either ignored or only partially considered in commonly used models fo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/18/4545 |