Landslide susceptibility, Peloponnese Peninsula in South Greece

Figures & data

Figure 1. Study area (Peloponnese) with landslide events.

Figure 2. Data layers – predictor variables.

Table 1. Data layers of the spatial database representing landslide influencing factors.

Data Layer	Source	Type	Cell size/scale
Elevation	SRTM data (DEM)	Grid	90 m
Slope angle	DEM derived	Grid	90 m
Geology	Geological Map	polygons	1:500,000
Land cover	Corine Land Cover	polygons	1:100,000
Rainfall	Analogue map	polylines	1:500,000

Table 2. Global Logistic Regression parameter estimates and model diagnostics.

Variable	Coefficient	Std Error	t-value	Exp(B)	Sd(Exp(B))
Intercept	−6.559	0.714	−9.184	0.001	0.001
Geology	0.792	0.323	2.453	2.208	0.713
Land cover	2.570	0.597	4.308	13.060	7.791
Rainfall	0.001	0.001	1.570	1.001	0.001
Elevation	−0.001	0.001	−1.099	0.999	0.001
Slope	0.790	0.067	11.883	2.204	0.147
Log-likelihood	−232.83
Deviance (−2LogLikelihood)	465.67
Number of parameters	6
Akaike Information Criterion	477.67
Corrected AIC (AICC)	477.76
Bayesian Information Criterion	506.86
Observations	959

Table 3. Geographically Weighted Logistic Regression parameter estimates and model diagnostics.

Variable	Min	Lwrquart	Median	Uprquart	Max
Intercept	−11.6387	−9.4447	−5.4683	−2.6331	−0.8301
Geology	−0.6503	0.1335	0.7235	1.0603	1.8573
Land cover	0.6495	1.8880	2.6942	3.3731	4.5935
Rainfall	−0.0036	−0.0022	0.0005	0.0028	0.0049
Elevation	−0.0033	−0.0012	−0.0001	0.0009	0.0012
Slope	0.6312	0.7163	0.7923	1.0232	1.1263
Log−likelihood	−207.84
Deviance	415.68
Effective number of parameters	28.39
Akaike Information Criterion	472.46
Corrected AIC (AICC)	474.26
Bayesian Information Criterion	610.60
Number of Nearest Neighbours	417

Figure 3. Differences of landslide susceptibility estimations between the GWLR and the global Logistic Regression.