Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province.

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Bibliographic Details
Title: Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province.
Authors: Han M; College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi, China., Yang Y; College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi, China.
Source: PloS one [PLoS One] 2026 May 08; Vol. 21 (5), pp. e0347996. Date of Electronic Publication: 2026 May 08 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0347996