Investigation of the effects of approaches used in the production of training and validation data sets on the accuracy of landslide susceptibility mapping models: Samsun (Turkey) example
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-021-08312-8.pdf
Reference82 articles.
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2. Akgün A (2018) Landslide susceptibility analysis by fuzzy adaptive resonance theory (FuzzyART) method: Tonya (Trabzon) example, Gümüşhane University. J Sci Technol Arts 8(1):135–146. https://doi.org/10.17714/gumusfenbil.346532 (In Turkish)
3. Akgun A, Sezer EA, Nefeslioglu HA, Gokceoglu C, Pradhan B (2012) An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm. Comput Geosci 38(1):23–34. https://doi.org/10.1016/j.cageo.2011.04.012
4. Akinci H, Ozalp AY (2021) Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model. Acta Geophys 1-21. https://doi.org/10.3390/ijgi9090553
5. Akıncı H, Doğan S, Kılıçoğlu C, Keçeci SB (2010) Production of landslide susceptibility map of Samsun Province Center. Electronic Journal of Map Technologies 2(3):13–27. https://doi.org/10.19111/bulletinofmre.649758 (In Turkish)
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