International Journal of Astrophysics and Space Science

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Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS)

Received: 03 January 2016    Accepted: 11 January 2016    Published: 23 January 2016
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Abstract

Burglary is an offence committed against others’ property and it is considered a violent crime. Nowadays to monitor and detect burglary crime geographic information system (GIS) is used broadly. The aim of this study is to analyses spatial pattern and spatial dependency of burglary in the study area by applying GIS techniques. For understanding the crime pattern better and creating plans for preventing and reducing crime and using the resources and places, sometimes might make greatest differences; the identification of hotspots in time is very important. The data for this study obtained from the secondary data; boundary shape file of the study area, socioeconomic data and burglary data for November 2012 were gained. The outcome of the study shows that the distribution of burglary is clustered. It is clear from the results that the rate of burglary strongly affects the percentage of unemployed people; also the percentage of non-white and young people (aged 20-24) does not significantly correlate with burglary.

DOI 10.11648/j.ijass.20160401.11
Published in International Journal of Astrophysics and Space Science (Volume 4, Issue 1, February 2016)
Page(s) 1-11
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Crime, Burglary, Spatial Pattern, GIS, South Yorkshire

References
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[4] CARMICHAEL, F. and WARD, R. (2000). Youth unemployment and crime in the English regions and wales. Applied economics, 32 (5), 559-571.
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[8] MARTIN, D. (2000). Towards the geographies of the 2001 UK census of population. Transactions of the institute of British geographers, 25 (3), 321-332.
[9] MESEV, V. (1998). The use of census data in urban image classification. Photogrammetric engineering and remote sensing, 64 (5), 431-436.
[10] NAGIN, D. S. and PATERNOSTER, R. (1993). Enduring individual differences and rational choice theories of crime. Law & soc'y rev., 27, 467.
[11] OPENSHAW, S. (1983). The modifiable areal unit problem. Geo Books Norwich. 38.
[12] RATCLIFFE, J. H. (2002). Aoristic signatures and the spatio-temporal analysis of high volume crime patterns. Journal of quantitative criminology, 18 (1), 23-43.
[13] SANTOS, R. B. (2012). Crime analysis with crime mapping. Sage Publications, Incorporated.
[14] South Yorkshire Police (2012). NOT PROTECTIVELY MARKED SOUTH YORKSHIRE POLICE [online]. Last accessed 17th January 2013 at: http://www.southyorks.police.uk.
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Author Information
  • Geography Department, Faculty of Arts, Soran University, Soran City, Erbil, Kurdistan Region, Iraq

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  • APA Style

    Gaylan Rasul Faqe Ibrahim. (2016). Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS). International Journal of Astrophysics and Space Science, 4(1), 1-11. https://doi.org/10.11648/j.ijass.20160401.11

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    Gaylan Rasul Faqe Ibrahim. Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS). Int. J. Astrophys. Space Sci. 2016, 4(1), 1-11. doi: 10.11648/j.ijass.20160401.11

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    AMA Style

    Gaylan Rasul Faqe Ibrahim. Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS). Int J Astrophys Space Sci. 2016;4(1):1-11. doi: 10.11648/j.ijass.20160401.11

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  • @article{10.11648/j.ijass.20160401.11,
      author = {Gaylan Rasul Faqe Ibrahim},
      title = {Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS)},
      journal = {International Journal of Astrophysics and Space Science},
      volume = {4},
      number = {1},
      pages = {1-11},
      doi = {10.11648/j.ijass.20160401.11},
      url = {https://doi.org/10.11648/j.ijass.20160401.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijass.20160401.11},
      abstract = {Burglary is an offence committed against others’ property and it is considered a violent crime. Nowadays to monitor and detect burglary crime geographic information system (GIS) is used broadly. The aim of this study is to analyses spatial pattern and spatial dependency of burglary in the study area by applying GIS techniques. For understanding the crime pattern better and creating plans for preventing and reducing crime and using the resources and places, sometimes might make greatest differences; the identification of hotspots in time is very important. The data for this study obtained from the secondary data; boundary shape file of the study area, socioeconomic data and burglary data for November 2012 were gained. The outcome of the study shows that the distribution of burglary is clustered. It is clear from the results that the rate of burglary strongly affects the percentage of unemployed people; also the percentage of non-white and young people (aged 20-24) does not significantly correlate with burglary.},
     year = {2016}
    }
    

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    T1  - Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS)
    AU  - Gaylan Rasul Faqe Ibrahim
    Y1  - 2016/01/23
    PY  - 2016
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    T2  - International Journal of Astrophysics and Space Science
    JF  - International Journal of Astrophysics and Space Science
    JO  - International Journal of Astrophysics and Space Science
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    EP  - 11
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ijass.20160401.11
    AB  - Burglary is an offence committed against others’ property and it is considered a violent crime. Nowadays to monitor and detect burglary crime geographic information system (GIS) is used broadly. The aim of this study is to analyses spatial pattern and spatial dependency of burglary in the study area by applying GIS techniques. For understanding the crime pattern better and creating plans for preventing and reducing crime and using the resources and places, sometimes might make greatest differences; the identification of hotspots in time is very important. The data for this study obtained from the secondary data; boundary shape file of the study area, socioeconomic data and burglary data for November 2012 were gained. The outcome of the study shows that the distribution of burglary is clustered. It is clear from the results that the rate of burglary strongly affects the percentage of unemployed people; also the percentage of non-white and young people (aged 20-24) does not significantly correlate with burglary.
    VL  - 4
    IS  - 1
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