空气污染暴露公正异质性空间自相关分析Spatial autocorrelation analysis of air pollution exposure justice heterogeneity
彭芬,邹滨,邱永红
摘要(Abstract):
本文借助地理信息系统(GIS)空间分析、逻辑回归模型和空间自相关等技术,开展基于年龄、种族和受教育程度特征要素的空气污染暴露公正评价研究。结果表明:研究区基于这3个特征要素存在暴露不公正县域单元,但是仅有黑人(OR平均值为2.815)和少于4年教育程度(OR平均值为1.682)的人群不公正特征明显;除印第安人和少于4年教育程度的人群组外,研究区基于3个特征要素的空间自相关格局都存在高-高集聚特征。
关键词(KeyWords): GIS;逻辑回归模型;空间自相关;空气污染暴露;环境公正
基金项目(Foundation): 国家自然科学基金项目(41201384);; 湖南省自然科学基金项目(12JJ3034));; 中南大学升华猎英高层次人才项目(16817601110176)
作者(Author): 彭芬,邹滨,邱永红
DOI: 10.16251/j.cnki.1009-2307.2014.05.020
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