Slope erosion due to rainfall, being a complex and serious problem worldwide, is related to natural hazards and the envi-ronment. However, scientific evaluations of slope stability are lacking, and research on the spatial characteristics of slope ero-sion is scarce. As such, in this study, we have constructed a method of evaluating the spatial characteristics of slope erosion that we combined with electrical measurements; subsequently, we have conducted an in situ model test. We observe a step -type growth trend in the change in resistivity, which was di-vided into different degrees of erosion using the K-means clus-tering method. Moreover, we have selected excavated slopes with supporting structures and landfill slopes without support-ing structures to evaluate the spatial characteristics of engi-neered slopes after several months; finally, we have applied the proposed evaluation method. We use seasonal and trend decomposition using loess to remove the noise and randomness in the resistivity data, and we determine the change in resistiv-ity based on the threshold calculated through probability den-sity statistics. We categorize the erosion of slopes into different states and identify a spatial step-type growth trend in slope ero-sion, which was in good agreement with the spatial distribution characteristics of cracks on the slope. We observe serious ero-sion at the bottom and shallow parts of both slopes, which in-dicated a high risk of local collapse according to the spatial characteristics of slope erosion and our slope stability analysis.
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