Analyzing spatial non-stationarity effects of driving factors on landslides: a multiscale geographically weighted regression approach based on slope units
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10064-024-03879-4.pdf
Reference66 articles.
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4. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31. https://doi.org/10.1016/j.geomorph.2004.06.010
5. Boussouf S, Fernandez T, Hart AB (2023) Landslide susceptibility mapping using maximum entropy (MaxEnt) and geographically weighted logistic regression (GWLR) models in the Rio Aguas catchment (Almeria, SE Spain). Nat Hazards 117:207–235. https://doi.org/10.1007/s11069-023-05857-7
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