Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China

Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China

As a crucial component of urban economic activities, the layout and optimization of urban commercial spaces directly influence the economic prosperity and quality of life of residents. Therefore, comprehensively and accurately characterizing the distribution characteristics and evolutionary patterns...

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Bibliographic Details
Main Authors: Yihang Xiao, Cunzhi Li, Zhiwu Zhou, Dongyang Hou, Xiaoguang Zhou
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
commercial facilities distribution
spatial patterns
GraphSAGE
multisource spatiotemporal data
Beijing
Online Access:https://www.mdpi.com/2220-9964/14/1/23
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