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Geoscience Letters

Official Journal of the Asia Oceania Geosciences Society (AOGS)

Fig.2 | Geoscience Letters

Fig.2

From: Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms

Fig.2Fig.2

Landslide causative factors: elevation \(\left(\mathrm{Elev}\right)\) (A), slope \(\left(\mathrm{S}\right)\) (B), plan curvature \(({\mathrm{Pl}}_{\mathrm{c}})\) (C), profile curvature \(({\mathrm{Pr}}_{\mathrm{c}})\) (D), lithology (E; values in brackets refer to the order of each lithology class and frequency of landslide occurrence in each class, respectively), fault density \(({\mathrm{F}}_{\mathrm{d}})\) (F), distance to faults \({(\mathrm{Ds}}_{\mathrm{f}})\) (G), rainfall (H), distance to drainage (Dsd) I), drainage density \(({\mathrm{D}}_{\mathrm{d}})\) (J), stream power index \(\left(\mathrm{SPI}\right)\) (K), topographic wetness index \(\left(\mathrm{TWI}\right)\) (L), and NDVI (M). Individual LCFs were classified into different classes using the “Natural Break” method

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