Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

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datacite.relatedItem.firstPage640
datacite.relatedItem.issue10
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorMingyang Yu
dc.contributor.authorJingqi Li
dc.contributor.authorYongqiang Lv
dc.contributor.authorHuaqiao Xing
dc.contributor.authorHuimeng Wang
dc.date.accessioned2025-05-14T13:02:56Z
dc.date.available2025-05-14T13:02:56Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10100640
dc.identifier.otherjz000145-0635
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/22346
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleFunctional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/22347
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