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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)