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

• Published in: International journal of applied earth observation and geoinformation Vol. 134; p. 104163
• Main Authors: Xiao, Zeyu, Gong, Shuhui, Wang, Qirui, Di, Heyan, Jing, Changfeng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2024; Elsevier
• Subjects: Hierarchical zoning of regions; Spatial interaction graph convolutional network (SI-GCN); Spatial interactions imputation; Travel behaviours analysis; Spatial interaction graph convolutional network (SI-GCN); Hierarchical zoning of regions; Spatial interactions imputation; Travel behaviours analysis

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...