An evolutionary approach for spatial prediction of landslide susceptibility using LiDAR and symbolic classification with genetic programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-04780-z.pdf
Reference82 articles.
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2. Atkinson PM, Massari R (2011) Autologistic modelling of susceptibility to landsliding in the central apennines. Italy Geomorphol 130:55–64. https://doi.org/10.1016/j.geomorph.2011.02.001
3. 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
4. Ayalew L, Yamagishi H, Ugawa N (2004) Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1:73–81. https://doi.org/10.1007/s10346-003-0006-9
5. Bai S-B, Wang J, Lü G-N et al (2010) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115:23–31. https://doi.org/10.1016/j.geomorph.2009.09.025
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