Incorporating the Third Law of Geography with Spatial Attention Module–Convolutional Neural Network–Transformer for Fine-Grained Non-Stationary Air Quality Predictive Learning

Accurate air quality prediction is paramount in safeguarding public health and addressing air pollution control. However, previous studies often ignore the geographic similarity among different monitoring stations and face challenges in dynamically capturing different spatial–temporal relationships...

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Detalhes bibliográficos

Principais autores:	Shaofu Lin, Yuying Zhang, Xiliang Liu, Qiang Mei, Xiaoying Zhi, Xingjia Fei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-05-01
coleção:	Mathematics
Assuntos:	air quality prediction the third law of geography spatial–temporal attention convolutional network Shapley’s analysis
Acesso em linha:	https://www.mdpi.com/2227-7390/12/10/1457
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