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Date: November 22, 2024 Fri
Time: 11:35 am
Time: 11:35 am
Results for gis
2 results foundAuthor: Mack, Elizabeth A. Title: Sex Offenders and Residential Location: A Predictive Analytic Framework Summary: Despite the growing body of research dealing with sex offenders and the collateral consequences of legislation governing their post release movements, a complete understanding of the residential choices of registered sex offenders remains elusive. The purpose of this paper is to introduce a predictive analytical framework for determining which demographic and socioeconomic factors best forecast the residential choices of convicted sex offenders. Specifically, using a derived index of social disorganization (ISDOR) and a commercial geographic information system (GIS), we implement both linear statistical and non-linear data mining approaches to predict the presence of sex offenders in a community. The results of this analysis are encouraging, with nearly 75% of registered offender locations predicted correctly. The implications of these approaches for public policy are discussed. Details: Tempe, AZ: Arizona State University, GeoDa Center for Geospatial Analysis and Computation, 2010. 37p. Source: Internet Resource: Working Paper No. 2010-03: Accessed October 14, 2010 at: http://geodacenter.asu.edu/drupal_files/2010-03_0.pdf Year: 2010 Country: United States URL: http://geodacenter.asu.edu/drupal_files/2010-03_0.pdf Shelf Number: 119955 Keywords: Data MiningGeographic StudiesGeospatial AnalysisGISResidency RestrictionsSex OffendersSocioeconomic Status |
Author: Grosso, David A. Title: Using GIS to Assess Firearm Thefts, Recoveries and Crimes in Lincoln, Nebraska Summary: Firearm use in the United States has long been of great concern and at the center of many debates. Most research, however, has either focused on the use of firearms in violent crimes or the availability of firearms compared to the violent crime rates. Few studies have focused on the theft of firearms or the relationships between stolen firearms and crime. Using seven years of data collected Lincoln, Nebraska Police Department, this thesis focuses on the geospatial dimensions of firearm thefts and recoveries. Specific attention is given to the relationship firearm thefts and recoveries have with gun-related crimes, violent crimes, and property crimes. Statistical analyses reveal that firearm thefts and recoveries show clear patterns of clustering. Firearm thefts are significantly related to gun-related crimes and property crimes while firearm recoveries are significantly related to gun-related crimes, violent crimes, and property crimes. Findings also reveal that the majority of firearms reported stolen in Lincoln are acquired by the thief in residential neighborhoods (between 70 and 80 percent). The average theft in Lincoln regardless of gang involvement was 1.9 firearms per theft, which is significantly lower than the average for gang involvement at 6.6 firearms per theft. Subsequent spatial analyses revealed a significant southwest directional movement of firearms stolen in relation to gang activity with a large number of firearms being recovered in Phoenix, Arizona. Statistically significant relationships were discovered to exist between gun-related and property crimes. Moreover, firearm recoveries, unlike thefts, were significantly related to violent crimes in addition to gun-related and property crimes. The results have important policy implications. They suggest that a greater amount of attention should be placed on the theft of firearms and their movement away from Lincoln. They also emphasize that gun owners need to put more effort into properly securing firearms in their residences and vehicles. Details: Lincoln, NE: University of Nebraska, 2014. 220p. Source: Internet Resource: Dissertation: Accessed September 14, 2017 at: http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1019&context=geographythesis Year: 2014 Country: United States URL: http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1019&context=geographythesis Shelf Number: 147253 Keywords: GISGlobal Positioning Systems Gun-Related Violence Guns Stolen Property Theft of Firearms |