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Table 8 Randomly selected combination of multipliers of coefficients of the LOGIT model (percentile-discretized) to calibrate it for optimal results in defining the landslide susceptibility map

From: Landslide Susceptibility Mapping of Urban Areas: Logistic Regression and Sensitivity Analysis applied to Quito, Ecuador

AUC Lithology Land Use/Veg Cover Seismic Intensity Intense Precipitations Soil Stability Slope Population Road Density Floor Area Building Footprint
0.74170b 0.01600a 0.01220a − 0.01100a 0.02380a 0.00470a − 0.00045a 0.00340a 0.00520a − 0.00400a − 0.00380a
0.79682 1 1 1 1.3 1 1 1 1 1 1
0.79682 1 1 1 1.3 1 1 1 1 1 1
0.79676 1 1 1 1.4 1 1 1 1 1 1
0.79676 1 1 1 1.4 1 1 1 1 1 1
0.79676 1 1 1 1.4 1 1 1 1 1 1
0.79671 1 1.5 1.4 1.3 1 1 1 1 1.9 1
0.79667 1 1 1 1.2 1 1 1 1 1 1
0.79667 1 1 1 1.2 1 1 1 1 1 1
0.79662 1 1 1 1.4 3.9 1 1 1 1 1
0.79655 1 1 1 1.5 3.1 1 1 1 0.3 1
0.79653 1 1 1 1.1 1 1 1 1 1 1
0.79653 1 1 1 1.1 1 1 1 1 1 1
0.79651 3.4 4.2 1.6 3.9 0.1 4.1 3.1 3.7 2.9 1.1
0.79651 1 1 1 1.1 1.8 1 1 1 1 1
0.79651 1 1 1 1.1 1.8 1 1 1 1 1
0.79646 0.9 1 1 1 1 1 1 1 1 1
0.79646 0.9 1 1 1 1 1 1 1 1 1
  1. aThe reference coefficients for each factor provided from the initial LOGIT model application (percentile-discretization)
  2. bThe reference AUC values provided after the initial LOGIT model application (percentile-discretization)