陈俊霖, 樊福成, 罗庆, 付彦芬. 基于仿射传播聚类与因子载荷的农村环境卫生评价指标体系构建[J]. 环境卫生学杂志, 2023, 13(5): 391-398. DOI: 10.13421/j.cnki.hjwsxzz.2023.05.014
    引用本文: 陈俊霖, 樊福成, 罗庆, 付彦芬. 基于仿射传播聚类与因子载荷的农村环境卫生评价指标体系构建[J]. 环境卫生学杂志, 2023, 13(5): 391-398. DOI: 10.13421/j.cnki.hjwsxzz.2023.05.014
    CHEN Jun-lin, FAN Fu-cheng, LUO Qing, FU Yan-fen. Construction of evaluation index system for rural environmental sanitation by affinity propagation clustering and factor loading[J]. Journal of Environmental Hygiene, 2023, 13(5): 391-398. DOI: 10.13421/j.cnki.hjwsxzz.2023.05.014
    Citation: CHEN Jun-lin, FAN Fu-cheng, LUO Qing, FU Yan-fen. Construction of evaluation index system for rural environmental sanitation by affinity propagation clustering and factor loading[J]. Journal of Environmental Hygiene, 2023, 13(5): 391-398. DOI: 10.13421/j.cnki.hjwsxzz.2023.05.014

    基于仿射传播聚类与因子载荷的农村环境卫生评价指标体系构建

    Construction of evaluation index system for rural environmental sanitation by affinity propagation clustering and factor loading

    • 摘要:
      目的 建立基于农村环境卫生监测项目的农村环境卫生评价指标体系。
      方法 选择7省(广东、甘肃、福建、湖北、江苏、四川与安徽)2015—2020年连续开展农村环境卫生监测工作的县(区)数据, 对其进行标准化, 形成初始指标群, 应用仿射传播聚类算法(Affinity Propagation, AP)对指标进行聚类, 结合因子载荷法筛选指标, 通过信息贡献率与指标精简率完成指标体系的合理性评价。
      结果 选择7省101个县(区)的监测数据, 形成了包含70个指标的聚类指标群; 其中9个可以独立提供信息的指标直接纳入, 其余指标通过AP聚类与因子载荷筛选纳入了17个代表性指标; 指标体系的信息贡献率为95.63%, 指标精简率为62.86%。
      结论 应用监测数据转化初始指标群与AP聚类分析、因子载荷方法筛选出26个指标, 构建了基于监测项目的农村环境卫生评价指标体系。

       

      Abstract:
      Objective To establish an evaluation index system for rural environmental sanitation based on Rural Environmental Sanitation Monitoring Project.
      Methods Upon the seven-provinces'(Guangdong, Gansu, Fujian, Hubei, Jiangsu, Sichuan, and Anhui in China) counties(districts) standardized data of monitoring project which was conducted consecutively from 2015 to 2020 converted into initial index groups, the affinity propagation(AP) clustering was applied to complete index clustering. Factor loading was applied to screen indices, and the rationality of the index system was evaluated by the information contribution rate and index simplification rate.
      Results The monitoring data of 101 counties(districts) in seven provinces were selected to form a cluster index group containing 70 indices; 9 indices those were independently informative were included directly, while 17 representative indices were screened by AP clustering and factor loading analysis. The index system showed an information contribution rate of 95.63% and an index simplification rate of 62.86%.
      Conclusion A total of 26 indices were screened out using the initial index group of monitoring data transformation, AP clustering analysis, and factor loading, and the evaluation index system for rural environmental sanitation based on monitoring project was constructed.

       

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