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Property Crime in The City and County of San Francisco 2016 - 2017: Applying GIS to Crime Pattern Theory
Umeå University, Faculty of Social Sciences, Department of Geography.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study’s aim is to reveal statistically significant hot spots and temporal patterns of property crime in the City and County of San Francisco and to also analyse the relationship between property crimes and the environment in which these crimes occur by using Geographic Information System (GIS). Crime pattern theory was used as the framework for the analysis of environmental surroundings and occurrence of crime. This theory indicates that certain places can be crime generators and attractors. The result showed that there are hot spots of crime in the north-eastern part of San Francisco, and that crime in these high-risk areas are intensifying. Then, by visual examination of density maps of property crime and facilities, such as shopping centres, pubs/bars/nightclubs and Bay Area Rapid Transit stations, it is shown that these facilities can explain concentrations of crime in certain areas. Furthermore, this study shows GIS can be a practical tool to utilize when presenting data of crime when used in combination with social theories which focuses on the causes of crime occurrence. 

Place, publisher, year, edition, pages
2019. , p. 54
Keywords [en]
GIS, crime pattern theory, environmental criminology, hot spots of crime
National Category
Human Geography
Identifiers
URN: urn:nbn:se:umu:diva-160354OAI: oai:DiVA.org:umu-160354DiVA, id: diva2:1326128
Subject / course
Examensarbete i Geografi, för magisterexamen
Supervisors
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Available from: 2019-06-18 Created: 2019-06-17 Last updated: 2019-06-18Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf