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Spatiotemporal evolution and forecasting of public attention to special education: a GIS and SARIMA-LSTM based analysis

Understanding public attention to special education is vital for promoting educational equity and achieving the Sustainable Development Goals (SDGs). This study aims to examine the spatiotemporal patterns of public attention to special education in China and to develop and evaluate a hybrid forecast...

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Principais autores: Xianhang Xu, Jiejing Yang, Mohd Anuar Arshad, Hong Liu, Yugang Jian, Mengjiao Zhao, Guoyu Luo, Shuxia Cao, Fulin Cao, Qianqian Chen
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2025-10-01
Serier:PeerJ Computer Science
Fag:
Spatiotemporal
Forecasting
SARIMA-LSTM
GIS
Baidu Index
Public attention
Online adgang:https://peerj.com/articles/cs-3293.pdf
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