Approaches for the Clustering of Geographic Metadata and the Automatic Detection of Quasi-Spatial Dataset Series

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datacite.relatedItem.firstPage87
datacite.relatedItem.issue2
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorJavier Lacasta
dc.contributor.authorFrancisco Javier Lopez-Pellicer
dc.contributor.authorJavier Zarazaga-Soria
dc.contributor.authorRubén Béjar
dc.contributor.authorJavier Nogueras-Iso
dc.date.accessioned2025-05-14T13:32:11Z
dc.date.available2025-05-14T13:32:11Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11020087
dc.identifier.otherjz000147-0084
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23524
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleApproaches for the Clustering of Geographic Metadata and the Automatic Detection of Quasi-Spatial Dataset Series
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23525
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