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Track: Local/State Government, Cadastral, Land Records

David Porter
World GEO Solutions
609 New Hampshire St
Lawrence, KS 66044


Telephone: 913-832-7178
Fax: 913-832-7204
E-mail: porterzx@ljworld.com



Identifying "Community of Interest" in Voting Districts Using Geodemography

Defining Issue: In order to define "community of interest" using socioeconomic profiling it is necessary to integrate as well as utilize various types of data and their spatial geography to analyze the behavior and population of a voting precinct. Incorporating geodemography with a Geographic Information System (GIS) capabilities gives the ability to query and review the spatial component of voting precincts and their unique characteristics offering a new and revealing picture of the concept of community interest. With the completion of this project the following capabilities were achieved: - Convert Kansas voting precinct boundaries from their native format for use in Atlas GIS - Spatially link Kansas registered voters and election data to precinct boundaries - Spatially link Claritas PRIZM geodemographic data to state voting precincts - Profile community interest by using PRIZM geodemography, 1988-1992 voter registration, and election results in the State of Kansas This paper profiles the results of defining community of interest using PRIZM clusters as well as the technical challenges encountered during the development and integration of the different software and data sources. GIS Solution: Highlight the integration and results of using Claritas PRIZM cluster coding, census data and geography, and a geographic information system. Methodology: Kansas voting precinct boundaries and voting attributes were converted from their native format for use in a GIS. Using a GIS, point-in-polygon and polygon-to-polygon functionality, census block data, PRIZM cluster block group codes, and other socioeconomic marketing data were incorporated. Software: This project used various software packages: Atlas GIS for DOS and Windows 3.1, Borland C++, Atlas Import/Export, Claritas PRIZM data, Lotus 1-2-3, and dBASE IV.



Copyright 1997 Environmental Systems Research Institute