## 3 Data Preparation and Analysis
### Evaluation Factor Analysis  
In this study, we selected 30 m \(\times\) 30 m resolution raster cells for evaluation, totaling 3,931,814 rasters in the study area. The matrix arrangement of raster cells enabled them to store, retrieve, and recall information easily, such that it has been extensively noticed and emphasized by academics [55]. Frequency Ratio (FR) refers to a variable statistical analysis technique used to measure the probabilistic relationship of multiple influencing factors, which can better identify the key factors for landslides and can more accurately predict the trend of landslide development. The FR method can more accurately identify the correlation between the factors, in which the value of the FR value is dependent on the characteristics of multiple influencing factors. FR is calculated as Equation (4). When the FR value exceeds 1, the correlation between the factors is strong; when the FR value is less than 1, the correlation between the factors is weak [56]. \[FR(X_{ij})=(N_{ij}/N)/(S_{ij}/S) \tag{4}\]  
where \(i\) is the serial number of the evaluation factor; \(j\) is the serial number of the secondary classification; \(N_{ij}\) denotes the number of landslide rasters occurring in the \(i\)th evaluation factor \(j\) class; \(N\) represents the total number of rasters of landslides in the study area; \(S_{ij}\) No. is the number of rasters in the interval of the \(i\)th evaluation factor \(j\) class; \(S\) expresses the total number of rasters in the study area. As depicted in Table 3, the points of landslide distribution in the mid-mountain region were significantly higher than those in the low-mountain region, and the FR value in the low-mountain region was larger than that in the mid-mountain region, with a value of 1.35. According to the elevation of this class classification, the landslide development significantly contributed to the low-mountain region. The FR value showed a positive correlation with the slope, and the FR value increased with the increase in the slope. FR values exceeded 1 in southeast, south, southwest, and west slopes, with the southeast and southwest slopes contributing the most to landslide occurrence, with FR values of 1.40 and 1.78, respectively. The FR values exceeded 1 in the Kv \(\leq\) 0 region of the study area, with a value of 1.05, which suggested that Kv \(\leq\) 0 can have an effect on landslide occurrence. The average annual rainfall in the regions of <1200 mm, 1200-1300 mm, 1400-1500 mm and >1600 mm had FR values over 1. The landslide FR tended to decline with the increase in NDVI, and the landslide frequency ratios of NDVI in the area of 0-0.6 exceeded 1, with a higher FR in the area of 0-0.3 with a FR value of 2.54. The area was mostly comprised of water bodies, bare land, cultivated land, and construction land, and human activities were relatively concentrated, which can exert a more pronounced effect on the slope and can be prone to landslides. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline EF & **a** & **b** & **c** & **d** & **e** & **f** & **g** & **h** & **i** & **j** & **k** & **l** & **m** \\ \hline j & \(-\)0.04 & \(-\)0.06 & 0.01 & 0.00 & 0.13 & \(-\)0.04 & 0.00 & \(-\)0.05 & 0.13 & 1.00 & & & \\ k & 0.10 & 0.11 & \(-\)0.02 & 0.01 & \(-\)0.20 & 0.15 & 0.12 & \(-\)0.01 & \(-\)0.09 & 0.01 & 1.