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Hot Spot mapping - A spatial and methodological approach to analyzing outdoor crimes in Malmö.

Holm, Jimmy LU (2018) SGEM07 20181
Department of Human Geography
Abstract
This thesis aim to visualize and explore the methodological approach to finding the
spatial patterning of crime through a geographical information system as a means for future guidance within spatial crime analysis. The analysis was applied to outdoor crimes for the city of Malmö in the year 2007. As a means for conducting this analysis a casestudy is performed. Both as a review of current police-methodology within crimepreventive work and on two individual geographic locations. After gathering and sorting of data a total of 9876 crime incidents was analysed. Two spatial analyses are performed, the Optimized Hot Spot-analysis tool and the Kernel Density Estimationanalysis
tool. The Average Nearest Neighbor-model was applied to the data... (More)
This thesis aim to visualize and explore the methodological approach to finding the
spatial patterning of crime through a geographical information system as a means for future guidance within spatial crime analysis. The analysis was applied to outdoor crimes for the city of Malmö in the year 2007. As a means for conducting this analysis a casestudy is performed. Both as a review of current police-methodology within crimepreventive work and on two individual geographic locations. After gathering and sorting of data a total of 9876 crime incidents was analysed. Two spatial analyses are performed, the Optimized Hot Spot-analysis tool and the Kernel Density Estimationanalysis
tool. The Average Nearest Neighbor-model was applied to the data for further
statistical accuracy. The thesis concludes that both tools have their usages. The
optimized hot spot analysis was concluded to be of most use when the study area was
large whereas the kernel density estimation analysis performed better for finding small variations on smaller study areas. However, they are the most efficient as
complementary tools rather than when used as a single-method approach. (Less)
Please use this url to cite or link to this publication:
author
Holm, Jimmy LU
supervisor
organization
course
SGEM07 20181
year
type
H1 - Master's Degree (One Year)
subject
language
English
id
8960295
date added to LUP
2018-10-16 08:44:10
date last changed
2018-10-16 11:42:22
@misc{8960295,
  abstract     = {{This thesis aim to visualize and explore the methodological approach to finding the
spatial patterning of crime through a geographical information system as a means for future guidance within spatial crime analysis. The analysis was applied to outdoor crimes for the city of Malmö in the year 2007. As a means for conducting this analysis a casestudy is performed. Both as a review of current police-methodology within crimepreventive work and on two individual geographic locations. After gathering and sorting of data a total of 9876 crime incidents was analysed. Two spatial analyses are performed, the Optimized Hot Spot-analysis tool and the Kernel Density Estimationanalysis
tool. The Average Nearest Neighbor-model was applied to the data for further
statistical accuracy. The thesis concludes that both tools have their usages. The
optimized hot spot analysis was concluded to be of most use when the study area was
large whereas the kernel density estimation analysis performed better for finding small variations on smaller study areas. However, they are the most efficient as
complementary tools rather than when used as a single-method approach.}},
  author       = {{Holm, Jimmy}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Hot Spot mapping - A spatial and methodological approach to analyzing outdoor crimes in Malmö.}},
  year         = {{2018}},
}