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Official Journal of the Asia Oceania Geosciences Society (AOGS)

Table 5 Regression coefficients for the 13 landslide conditioning factors (LCFs) derived from the LR model

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

LCFs

\(\beta\)

S.E

z value

Pr( >|z|)

(Intercept)

0.076

0.137

0.552

0.580

Plc

0.016

0.153

0.103

0.9200

Prc

0.143

0.128

1.115

0.265

Elev

− 2.045

0.248

− 8.25

 < 2e−16***

Dsf

0.134

0.199

0.675

0.500

Fd

− 0.550

0.254

− 2.161

0.031*

NDVI

− 0.575

0.177

− 3.236

0.001**

Rainfall

0.989

0.229

4.327

0.000***

Dsd

− 0.553

0.147

− 3.772

0.000***

Dd

0.114

0.144

0.793

0.4290

Lithology

0.778

0.147

5.302

0.0000***

Slope

0.231

0.133

1.732

0.083

SPI

0.025

0.150

0.168

0.867

TWI

− 0.197

0.174

− 1.136

0.256

  1. Significant codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’ 1; \(\beta\) denotes the regression coefficient, and S.E. means standard error, \(\beta\) denotes the regression coefficient, and S.E. means standard error