Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework

Simple item page
datacite.relatedItem.firstPage392
datacite.relatedItem.issue6
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorXiaoming Zhang
dc.contributor.authorFeng Gao
dc.contributor.authorShunyi Liao
dc.contributor.authorFan Zhou
dc.contributor.authorGuanfang Cai
dc.contributor.authorShaoying Li
dc.date.accessioned2025-05-14T12:38:37Z
dc.date.available2025-05-14T12:38:37Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10060392
dc.identifier.otherjz000145-0388
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21338
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titlePortraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21339
dcat.distribution.supplierxmlhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21340
dspace.entity.typeDataset
relation.isDistributionOfDataset13a1eeca-4105-4bbc-aa88-11e31b6d3438
relation.isDistributionOfDatasete93e727f-09c3-4f77-8f4d-7073adfdf792
relation.isDistributionOfDatasetc9c7d737-a18e-43bb-a8bb-544102316072
relation.isDistributionOfDataset.latestForDiscovery13a1eeca-4105-4bbc-aa88-11e31b6d3438
wdm.archivematicaaipuuid.original5a380d7c-3c49-4a93-be47-6a229fd7591e

Files

Collections

2021