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

Gaylan Rasul Faqe Ibrahim

doi:doi:10.11648/j.ijass.20160401.11

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

Gaylan Rasul Faqe Ibrahim

Published in International Journal of Astrophysics and Space Science (Volume 4, Issue 1)

Received: 3 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.

Published in	International Journal of Astrophysics and Space Science (Volume 4, Issue 1)
DOI	10.11648/j.ijass.20160401.11
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), 2016. Published by Science Publishing Group

Keywords

Crime, Burglary, Spatial Pattern, GIS, South Yorkshire

References

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[15]	SOUTH YORKSHIRE POLICE (2012). Police crime data. [online]. Last accessed November 2012 at: http://www.police.uk/data.
[16]	STILLWELL, J. and DUKE-WILLIAMS, O. (2007). Understanding the 2001 UK census migration and commuting data: The effect of small cell adjustment and problems of comparison with 1991. Journal of the royal statistical society: Series A (statistics in society), 170 (2), 425-445.
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[20]	WINCHESTER, S., JACKSON, H. and BRITAIN, G. (1982). Residential burglary: The limits of prevention. HM Stationery Office.

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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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS)
AU  - Gaylan Rasul Faqe Ibrahim
Y1  - 2016/01/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ijass.20160401.11
DO  - 10.11648/j.ijass.20160401.11
T2  - International Journal of Astrophysics and Space Science
JF  - International Journal of Astrophysics and Space Science
JO  - International Journal of Astrophysics and Space Science
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2376-7022
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
ER  -

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Author Information

Gaylan Rasul Faqe Ibrahim

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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ACS 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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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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Spatial Pattern of Burglary in South Yorkshire Using Geographic Information System (GIS)
AU  - Gaylan Rasul Faqe Ibrahim
Y1  - 2016/01/23
PY  - 2016
N1  - https://doi.org/10.11648/j.ijass.20160401.11
DO  - 10.11648/j.ijass.20160401.11
T2  - International Journal of Astrophysics and Space Science
JF  - International Journal of Astrophysics and Space Science
JO  - International Journal of Astrophysics and Space Science
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2376-7022
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
ER  -

Copy | Download