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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datacite.relatedItem.firstPage23
datacite.relatedItem.issue1
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume14
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.date.issued2025
dc.identifier.doihttps://doi.org/10.3390/ijgi14010023
dc.identifier.otherjz000158-0051
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32904
dc.publisherMDPI AG
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.typeArticle
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