Application of Functional Principal Component Analysis in the Spatiotemporal Land-Use Regression Modeling of PM<sub>2.5</sub>

Application of Functional Principal Component Analysis in the Spatiotemporal Land-Use Regression Modeling of PM<sub>2.5</sub>

Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants. We developed a methodology for the novel functional land-use regression (FLUR)...

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Bibliographic Details
Main Authors: Mahmood Taghavi, Ghader Ghanizadeh, Mohammad Ghasemi, Alessandro Fassò, Gerard Hoek, Kiavash Hushmandi, Mehdi Raei
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Atmosphere
Subjects:
air pollution
spatiotemporal modeling
functional data analysis
land-use regression
Tehran
Online Access:https://www.mdpi.com/2073-4433/14/6/926

Internet

https://www.mdpi.com/2073-4433/14/6/926

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