A Generalized Additive Model Combining Principal Component Analysis for PM2.5 Concentration Estimation

A Generalized Additive Model Combining Principal Component Analysis for PM2.5 Concentration Estimation

As an extension of the traditional Land Use Regression (LUR) modelling, the generalized additive model (GAM) was developed in recent years to explore the non-linear relationships between PM2.5 concentrations and the factors impacting it. However, these studies did not consider the loss of informatio...

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Bibliographic Details
Main Authors: Shuang Li, Liang Zhai, Bin Zou, Huiyong Sang, Xin Fang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
PCA
GAM
PM2.5 concentrations
effective predictor variables
utilization rate
Online Access:https://www.mdpi.com/2220-9964/6/8/248

Internet

https://www.mdpi.com/2220-9964/6/8/248

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