Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest

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datacite.relatedItem.firstPage339
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorZhihao Sun
dc.contributor.authorHongzan Jiao
dc.contributor.authorHao Wu
dc.contributor.authorZhenghong Peng
dc.contributor.authorLingbo Liu
dc.date.accessioned2025-05-14T12:33:41Z
dc.date.available2025-05-14T12:33:41Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10050339
dc.identifier.otherjz000145-0336
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21130
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleBlock2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21131
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