Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

datacite.relatedItem.firstPage443
datacite.relatedItem.issue7
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume9
dc.contributor.authorXinxiang Lei
dc.contributor.authorWei Chen
dc.contributor.authorBinh Thai Pham
dc.date.accessioned2025-05-14T16:29:21Z
dc.date.available2025-05-14T16:29:21Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.3390/ijgi9070443
dc.identifier.otherjz000157-0440
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/31368
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titlePerformance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis
dc.typeArticle
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