A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting

A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting

Accurate air quality index (AQI) forecasting makes a difference to public health, local economic development, and ecological environment. As a typical geographical datum, the spatial autocorrelation (SAC) of the AQI is often ignored, which may violate the assumptions of some models, such as machine...

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Bibliographic Details
Main Authors: Zixi Zhao, Jinran Wu, Fengjing Cai, Shaotong Zhang, You-Gan Wang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Ecological Indicators
Subjects:
AQI forecasting
Statistical learning
Feature selection
Spatial auto-correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22008895

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http://www.sciencedirect.com/science/article/pii/S1470160X22008895

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