GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Influencing factor</td><td class="align_center">VIF</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Elevation</td><td class="align_center">1.902</td></tr><tr><td class="align_left">Slope angle</td><td class="align_center">1.835</td></tr><tr><td class="align_left">Slope aspect</td><td class="align_center">1.213</td></tr><tr><td class="align_left">Plan curvature</td><td class="align_center">1.078</td></tr><tr><td class="align_left">Profile curvature</td><td class="align_center">1.153</td></tr><tr><td class="align_left">Distance to road</td><td class="align_center">1.233</td></tr><tr><td class="align_left">Distance to river</td><td class="align_center">1.058</td></tr><tr><td class="align_left">Distance to fault</td><td class="align_center">1.008</td></tr><tr><td class="align_left">Stratigraphic lithology</td><td class="align_center">1.621</td></tr><tr><td class="align_left">Normalized difference vegetation index</td><td class="align_center">1.746</td></tr><tr><td class="align_left">Topographic wetness index</td><td class="align_center">1.621</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The VIF values for the influencing factors.</div>

Advances in Civil Engineering

tab2

Table 2

Table 2: GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China 

Table 2 | GIS-Based Landslide Susceptibility Mapping Using Information, Frequency Ratio, and Artificial Neural Network Methods in Qinghai Province, Northwestern China 