Abstract:At present, the analysis of the suitability of earthquake resistance and disaster prevention in new rural areas usually adopts the geological zoning method for the survey points. The complexity of the GIS space is neglected in the analysis process, and the weighted analysis of the evaluation indicators is not carried out, resulting in the low fitting degree of the calculated and actual results. Based on this, a new rural earthquake disaster prevention suitability planning model based on ANSYS is proposed. Considering the spatial complexity of GIS, the ANSYS is used to modify the finite-element structure field in GIS space. Combined with the logistic nonlinear regression model, a nonlinear regression analysis is carried out on the binary variable data in the earthquake disaster prevention suitability planning of rural land. To prevent the calculation value from being too subjective, the combined entropy coefficient model is used to weight the evaluation index calculated by the logistic equation, and the new rural earthquake disaster prevention suitability planning model based on ANSYS is completed. The case study proves that the calculated results obtained by the proposed method have a high degree of fitting with the actual results, can successfully complete the quantification of the evaluation indicators, and can objectively complete the rural earthquake disaster prevention suitability planning analysis.