ahp_classical_ahpg

Dataset and scripts associated with the manuscript “A Comparative Evaluation of Classical and Gaussian AHP in Flood Fragility Environmental Analysis”. The repository contains the complete Python workflow used to calculate and compare the Classical Analytic Hierarchy Process (AHP) and Gaussian Analytic Hierarchy Process (AHP-G) models for flood-fragility assessment in the coastal municipality of Praia Grande, São Paulo, Brazil. The files include geoenvironmental flood-fragility scores adapted from Crepani (2001), pairwise comparison matrices, Gaussian weighting procedures, inferential statistical analyses (Shapiro–Wilk, Pearson, Spearman, Kendall Tau, paired t-test, Wilcoxon, ANOVA, and Kruskal–Wallis), sensitivity metrics (RMSE, MAE, variance, and standard deviation), and comparative ranking analyses. The Excel spreadsheet contains all intermediate and final outputs generated by the scripts, including normalized matrices, multicriteria weights, ranking structures, ecological-function groups, and statistical results. These materials support reproducibility, transparency, and methodological validation of multicriteria environmental modeling for coastal flood-fragility assessment and spatial decision support.本数据集与配套脚本关联于学术论文《经典层次分析法与高斯层次分析法在洪水易损性环境分析中的对比评估》。本仓库包含完整的Python工作流，用于计算并对比经典层次分析法（Analytic Hierarchy Process，简称AHP）与高斯层次分析法（AHP-G）模型，以评估巴西圣保罗州普拉亚格兰德沿海市镇的洪水易损性。所包含的文件涵盖：改编自Crepani（2001）的地质环境洪水易损性评分、两两比较矩阵、高斯加权流程、推断性统计分析（含夏皮罗-威尔克检验、皮尔逊相关分析、斯皮尔曼相关分析、肯德尔tau检验、配对t检验、威尔科克森检验、方差分析（ANOVA）以及克鲁斯卡尔-沃利斯检验）、敏感性指标（均方根误差（RMSE）、平均绝对误差（MAE）、方差与标准差）以及对比排序分析。本配套Excel电子表格包含脚本生成的全部中间与最终输出结果，包括归一化矩阵、多准则权重、排序结构、生态功能分组以及统计分析结果。这些材料可为沿海洪水易损性评估与空间决策支持的多准则环境建模提供可复现性、研究透明度以及方法学验证支撑。