Kernel Density Analysis of Voter Behavior in El Paso, TX
Released August 24, 2010
THE INFORMATION CONTAINED HEREIN SHALL NOT BE REPRODUCED OR DISCLOSED IN WHOLE OR IN PART EXCEPT WHEN SUCH USER POSSESSES DIRECT, WRITTEN AUTHORIZATION FROM HELIX SOLUTIONS.
Kernel density analysis is a method of exploring “the relative density of point data as spread over an area” (Clue Trust 2010, 64). In this case, the point data are individual voters. An exponential (negative) kernel density was employed for these data, which places more weight on the center points (Clue Trust 2010). As a result, the map produces concentrations of El Paso voters (i.e., clusters) where the exponential (negative) methods limits disbursement into areas with little or no voters. The red areas illustrate the highest concentration (i.e., density) of voters while the blue region depict none.
The datasets employed in our analysis were obtained from the Elections Department at El Paso County (500 E. San Antonio, Suite L115, El Paso, Texas, 79901).
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Clue Trust. 2010. Cartographica User’s Guide: Version 1.2 (Draft). Retrieved from http://www.cluetrust.com/Downloads/Cartographica-1.2-Draft2.pdf on April 12, 2011.