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Jim Kompanek
Introduction
In Lesson 7, crime data for the City of Philadelphia was examined using different classification methods. This data was explored using ArcGIS ArcMap 9.1 (Figures 1-4) and was based on data available from the Philadelphia Neighborhood Information System (NIS 2007) and Gruver (2007).
Equal Interval
Figure 1a. City of Philadelphia crime data using equal interval classification scheme.
Figure 1b. Histogram of crime data using equal interval classification scheme.
Percentile (Quantile)
Figure 2a. City of Philadelphia crime data using percentile (quantile) classification scheme.
Figure 2b. Histogram of crime data using percentile (quantile) classification scheme.
Natural Breaks
Figure 3a. City of Philadelphia crime data using natural breaks classification scheme.
Figure 3b. Histogram of crime data using natural breaks classification scheme.
Standard Deviations
Figure 4a. City of Philadelphia crime data using standard deviation classification scheme.
Figure 4b. Histogram of crime data using standard deviation classification scheme.
References
Gruver, Adrienne
2007 Multiple Classifications and Multiple Representations, Lesson 7. The Pennsylvania State University World Campus Certificate Program in GIS. Accessed 25 May 2007.
Philadelphia Neighborhood Information System (NIS)
2007 Cartographic Modeling Lab, School of Social Policy and Practice. The University of Pennsylvania. Available online http://www.cml.upenn.edu/nis/ Accessed 25 May 2007
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