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

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dc.contributor.authorYihang Xiao
dc.contributor.authorCunzhi Li
dc.contributor.authorZhiwu Zhou
dc.contributor.authorDongyang Hou
dc.contributor.authorXiaoguang Zhou
dc.date.accessioned2025-05-14T17:04:29Z
dc.date.available2025-05-14T17:04:29Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32905
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleAnalysis 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
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistributione72e0e14-0844-4326-bc9b-ea8092f0cd2f
relation.isDatasetOfDistribution.latestForDiscoverye72e0e14-0844-4326-bc9b-ea8092f0cd2f

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