JSM 2005 - Toronto

Abstract #304842

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 525
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Risk Analysis
Abstract - #304842
Title: Use of "Extremes" in Identifying GIS-based Bivariate Associations
Author(s): Turkan K. Gardenier*+
Companies: Pragmatica Corporation
Address: 115 Saint Andrews Drive, NE, Vienna, VA, 22180, United States
Keywords: Extreme values ; Geographic Information Systems (GIS) ; Non-parametric bivariate association
Abstract:

A nonparametric approach to bivariate association analysis is presented for application to Geographic Information Systems (GIS). Extreme values from each end of the bivariate distribution are used to categorize observations into "bins," which form the basis for a 3X3 contingency table. Values in the four corner "bins" isolate those geographical locations of High-High and Low-Low (congruent) and High-Low and Low-High (noncongruent) characteristics on the two variables. These locations may be mapped for visual inspection and more detailed analysis using other correlates. An example of this approach using cancer mortality data will be illustrated.

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