空间统计分析的环境质量评价应用

本文阐述了空间统计分析方法的基本原理,介绍了判断空间关联显著性的相关指标及其计算方法,并将空间统计分析方法应用于环境质量评价领域,探索区域环境质量在空间上的分布特征,挖掘环境质量数据中的空间关联关系.结合惠州市2008年空气现状调查中的硫酸盐化速率数据进行分析,结果表明,该数据在整体上存在显著的空间自相关和聚集模式;在局部层面存在三个统计显著性较高的聚集区.由此可知,空间统计分析方法能有效地挖掘环境质量数据中的潜在关联关系,为环境质量评价提供十分重要的统计依据.

Application of spatial statistical analysis in environmental quality assessment

This paper described the basic theory of spatial statistical analysis,introduced the related indexes and its formula of significant judgments of spatial association.The method of spatial statistical analysis was applied in environmental quality assessment to explore spatial distribution of regional environmental quality,and excavate the spatial association in environmental quality data.Through analyzing the Huizhou’s sulfation rate data of air quality survey in 2008,the results showed that the data have significant overall spatial autocorrelation and accumulative mode,and the data have three statistical significantly higher areas in space.From this,the method of spatial statistical analysis could effectively mine the implicit association in environmental quality data,reveal the spatial structure and spatial interaction of regional environment,provide important statistical reference for environmental quality assessment.