A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China

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datacite.relatedItem.firstPage93
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorWei Xie
dc.contributor.authorXiaoshuang Li
dc.contributor.authorWenbin Jian
dc.contributor.authorYang Yang
dc.contributor.authorHongwei Liu
dc.contributor.authorLuis F. Robledo
dc.contributor.authorWen Nie
dc.date.accessioned2025-05-14T12:10:37Z
dc.date.available2025-05-14T12:10:37Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10020093
dc.identifier.otherjz000145-0093
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/20158
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/20159
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