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

Table 5

Statistical results of landslide susceptibility mapping.

Models	Susceptibility	Class area (km^2)	Class ratio (%)	Landslides count	Landslides ratio (%)
IM	Very low	259.95	17.24	1	1
	Low	492.91	32.69	3	3
	Moderate	407.12	27.00	13	13
	High	229.04	15.19	29	29
	Very high	118.82	7.88	54	54
FR	Very low	471.95	31.30	0	0
	Low	529.86	35.14	2	2
	Moderate	309.71	20.54	14	14
	High	130.13	8.63	47	47
	Very high	66.19	4.39	37	37
ANN	Very low	215.95	14.32	0	0
	Low	460.46	30.54	1	1
	Moderate	442.66	29.36	4	4
	High	276.77	18.36	30	30
	Very high	112.00	7.45	65	65