A two-layer graph-convolutional network for spatial interaction imputation from hierarchical functional regions

Understanding spatial interactions in urban environments has become critical in the context of spatio-temporal big data. However, Spatial–temporal big data often exhibit non-uniformity, necessitating the imputation of spatial interaction relationships derived from the analysis of such data. Previous...

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Detalhes bibliográficos

Principais autores:	Zeyu Xiao, Shuhui Gong, Qirui Wang, Heyan Di, Changfeng Jing
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-11-01
Colecção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	Spatial interactions imputation Travel behaviours analysis Spatial interaction graph convolutional network (SI-GCN) Hierarchical zoning of regions
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843224005193
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