Social Indicators Research

, Volume 82, Issue 2, pp 287–309 | Cite as

Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns

Article

Abstract

With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as exploratory spatial data analysis (ESDA) is suggested as a means to leverage the information contained in social indicator databases. The principles underlying ESDA are illustrated using a study of clusters and outliers based on data for a child risk scale computed for countries in the state of Virginia. Evidence of spatial clusters of high child risks is obtained along the Southern region of Virginia. The utility of spatial methods for state agencies in monitoring social indicators at various localities is discussed. A six-step framework that integrates spatial analysis of key indicators within a monitoring framework is presented; we argue that such a framework could be useful in enhancing communication between State and local planners.

Keywords

spatial analysis global association local association Community Health Indicators state-level planning 

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • Luc Anselin
    • 2
  • Sanjeev Sridharan
    • 1
  • Susan Gholston
    • 3
  1. 1.The Evaluation Programme, Research Unit in Health, Behaviour and Change Community Health Sciences, RUHBCThe University of Edinburgh, Medical SchoolEdinburghUK
  2. 2.University of Illinois at Urbana–Champaign and NCOVRUrbanaUSA
  3. 3.Virginia Department of Juvenile JusticeRichmondUSA

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