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地质统计学与地理信息系统:表征环境污染的工具。

Geostatistics and GIS: tools for characterizing environmental contamination.

作者信息

Henshaw Shannon L, Curriero Frank C, Shields Timothy M, Glass Gregory E, Strickland Paul T, Breysse Patrick N

机构信息

Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

出版信息

J Med Syst. 2004 Aug;28(4):335-48. doi: 10.1023/b:joms.0000032849.42310.4e.

Abstract

Geostatistics is a set of statistical techniques used in the analysis of georeferenced data that can be applied to environmental contamination and remediation studies. In this study, the 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) contamination at a Superfund site in western Maryland is evaluated. Concern about the site and its future clean up has triggered interest within the community because residential development surrounds the area. Spatial statistical methods, of which geostatistics is a subset, are becoming increasingly popular, in part due to the availability of geographic information system (GIS) software in a variety of application packages. In this article, the joint use of ArcGIS software and the R statistical computing environment are demonstrated as an approach for comprehensive geostatistical analyses. The spatial regression method, kriging, is used to provide predictions of DDE levels at unsampled locations both within the site and the surrounding areas where residential development is ongoing.

摘要

地质统计学是一组用于分析地理参考数据的统计技术,可应用于环境污染和修复研究。在本研究中,对马里兰州西部一个超级基金场地的1,1-二氯-2,2-双(对氯苯基)乙烯(DDE)污染进行了评估。由于该场地周边有住宅开发项目,对该场地及其未来清理工作的担忧引发了社区的关注。空间统计方法(地质统计学是其中的一个子集)正变得越来越流行,部分原因是各种应用程序包中都有地理信息系统(GIS)软件。在本文中,展示了联合使用ArcGIS软件和R统计计算环境作为一种进行全面地质统计分析的方法。空间回归方法——克里金法,用于预测场地内以及正在进行住宅开发的周边地区未采样地点的DDE水平。

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