Multicollinearity and spatial correlation analysis of landslide conditioning factors in Langat River Basin, Selangor

Landslides are complex geological phenomena that occurred caused of one or more conditioning factors. It can be difficult to analyse the landslide occurrence phenomena and produce landslide susceptibility mapping. However, selecting an appropriate contributing factor for the landslide model will generate valuable landslide susceptibility mapping. This paper assesses the potentiality and suitability of landslide conditioning factors for evaluating relationship landslide spatial analysis. Ten landslides contributing factors including elevation, slope, aspect, curvature, Topography Wetness Index (TWI), lithology, soil series, distance to drainage, land use, and rainfall were selected Multicollinearity analysis. Next, to analyse the landslide spatial relationship between its conditioning factors, Geographical Information System (GIS) approach ware used. The results showed the most distribution landslides occurred on the elevation range from 13.62 to 463.90 m, the slope between 16º to 25º, northeast direction for aspect, convex surface for curvature, 11 to 15 index TWI, within 200 m distance to the river, acid intrusive for lithology, and Steep land for soil series. Langat River Basin substantial rainfall, exceeding 2100 mm annually, exacerbates slope instability and contributes significantly to landslide frequency. By doing this, the present study contributes to identified appropriate conditioning factors and it is very important in future studies to develop landslide susceptibility analysis at Langat River Basin. The insights presented are invaluable for policymakers, land use planners, and disaster management agencies in implementing proactive measures to reduce the impact of landslides and enhance the region’s resilience to geological hazards.