Detecting the association between children health and lead exposure using Voronoi polygon rezoning

Itai Kloog, Boris A. Portnov

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper we use Voronoi polygons (VP) to test weather more homogenous exposure areas can be generated to reduce "ecological bias". In the analysis, soil contamination measurements by Lead (Pb) were superimposed upon a layer of small census areas (SCA) and the average exposure fir each SCA was calculated. Next, VPs were formed around soil test points, with each polygon containing exactly one Pb soil measurement. Spatial interpolations were also run, to compare their results with the results obtained by SCA averaging and VP rezoning. Next, OLS and Spatial Lag regressions were run to link Pb exposure with the health status of local children, with health information retrieved from the Clalit Health Services' database. Model fits were consistently higher in the VP models compared to the SCA and interpolation models, indicating that the VP method appeared to improve the models' explanatory power by reducing exposure misclassification.

Original languageEnglish
Pages (from-to)46-61
Number of pages16
JournalGeography Research Forum
Volume32
StatePublished - 1 Dec 2012
Externally publishedYes

Keywords

  • Ecological bias
  • Exposure misclassification
  • GIS
  • Lead
  • Rezoning
  • Soil contamination
  • Voronoi polygons

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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