Mining the Spatial Distribution Pattern of the Typical Fast-Food Industry Based on Point-of-Interest Data: The Case Study of Hangzhou, China

Simple item page
datacite.relatedItem.firstPage559
datacite.relatedItem.issue11
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorYan Zhou
dc.contributor.authorXuan Shen
dc.contributor.authorChen Wang
dc.contributor.authorYixue Liao
dc.contributor.authorJunli Li
dc.date.accessioned2025-05-14T14:14:10Z
dc.date.available2025-05-14T14:14:10Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11110559
dc.identifier.otherjz000147-0553
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25400
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleMining the Spatial Distribution Pattern of the Typical Fast-Food Industry Based on Point-of-Interest Data: The Case Study of Hangzhou, China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25401
dcat.distribution.supplierxmlhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25402
dspace.entity.typeDataset
relation.isDistributionOfDataset65fa503d-9baf-4b29-9010-2e0006e16e1e
relation.isDistributionOfDatasetca508851-80c9-40bd-a76e-97974ac47963
relation.isDistributionOfDataset61ce6f2c-3540-49b5-9bee-89ebadeafaf5
relation.isDistributionOfDataset.latestForDiscovery65fa503d-9baf-4b29-9010-2e0006e16e1e
wdm.archivematicaaipuuid.original9b4d35e9-02eb-4d25-a173-3f820a1da35b

Files

Collections

2022