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Activity Number:
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55
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #304214 |
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Title:
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Using Multivariate Spatial Statistics in the Modeling of Rate-Based Diffusion Processes: An Extension and Replication of Cohen and Tita
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Author(s):
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Jeremy R. Porter*+
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Companies:
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Rice University
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Address:
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Dept. of Sociology-MS28, Houston, TX, 77005,
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Keywords:
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Spatial Statistics ; Diffusion ; Crime ; Multivariate LISA ; Spatio-Temporal ; Crime Dynamics
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Abstract:
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The increased availability and usage of spatial statistics has fostered a growth in the spatio-temporal understanding of the dynamics associated with criminal offending. Using homicide data from the city of Pittsburgh, PA, this examination extends earlier spatial clustering methodologies used in identifying patterns of crime mobility introduced by Cohen and Tita (1999). Ultimately, this examination introduces the use of new bivariate spatial clustering techniques as a way of identifying patterns of crime mobility over a specified temporal period. This builds upon the resourceful and innovative work of Cohen and Tita (1999), which employed the use of the univariate LISA (Local Indicator of Spatial Association) statistic at different time periods. The results are promising and suggest a more robust application of clustering techniques in the identification of diffusion processes.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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