An analysis of crime pattern using [GIS] approach / Hamisah Haiyaton Md Sakili

Md Sakili, Hamisah Haiyaton (2019) An analysis of crime pattern using [GIS] approach / Hamisah Haiyaton Md Sakili. Degree thesis, Universiti Teknologi Mara Perlis.


Crime is act harmful not only to some individual but also to community, society or
state. The fear on crime and insecurity are the reality in life oppose. This paper
research indicates the relationship of criminal activities with land use and their
implications on the society at both the relative. The aim of this study is to review
spatial analysis of crime pattern at Montgomery county Maryland on year 2016 and
2017. There are four type of crime has been classified based on the crime cases
reported on year 2016 and 2017. By using GIS (Geographical Information System),
spatial analyst tools with density method and spatial statistic tool with hotspot is
performed in order to determine the crime pattern. The study then produces the map
distribution of crime on year 2016 and 2017. Besides that, the hotspot and kernel
density estimation map to determine the crime pattern. The overall finding from this
research that there have large changes on the crime pattern between year 2016 and
2017. For the both method of hotspot and kernel density estimation is the best method
used to identify and determine the crime pattern in Montgomery and also for the
general understanding on crime pattern.. In conclusion, this research paper suggests
that the application and integration of GIS techniques could assist the law enforcement
in monitoring potential crime location and improvement in internal management of
information in wide use of geographic information system (GIS).


Item Type: Thesis (Degree)
Email / ID Num.
Md Sakili, Hamisah Haiyaton
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Keywords: GIS (Geographical Information System) ; crime pattern ; land use ; hotspot ; kernel density
Date: 28 February 2019
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