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Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015

Received: 15 July 2016     Accepted: 25 July 2016     Published: 6 February 2017
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Abstract

This paper analyses Abuja crime data which consists of the averages of twenty major crimes reported to the police for the period 1995 – 2015. Correlation analysis and principal component analysis (PCA) were employed to explain the correlation between the crimes and to determine the distribution of the crimes over the three Area Councils under the Gwagwalada Area Command. The result has shown a significant correlation between robbery and rape, grievous hurt and wound (GHW), theft, assault, murder and unlawful escape. Gwagwalada Area Council has the highest overall crime rate i.e. Rape, Robbery, GHW, Theft, Assault, Murder and unlawful escape in the Area Command. Unlawful possession, breach of peace and broken store are more prevalence in Kwali Area Council while Vehicle theft, car stealing and burglary are more prevalence in Kuje Area Council Area. The PCA has suggested retaining three components (Rape, Robbery and GHW) that explain about 86.873 percent of the total variability of the data set.

Published in American Journal of Theoretical and Applied Statistics (Volume 6, Issue 1)
DOI 10.11648/j.ajtas.20170601.15
Page(s) 38-43
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), 2017. Published by Science Publishing Group

Keywords

Multivariate Analysis, Factor Analysis, PCA, GHW, DPHs

References
[1] Alemika E. E. O and I. C. Chukwuma (2005), Designing indicators of safety and justice: lesson from the clean foundation’s National Crime Victims Surveys in Nigeria.
[2] Cattell, R. B. (1966), The Scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.
[3] Kendall Williams et al (2004), A Multivariate Statistical Analysis of Crime Rate in US Cities.
[4] Kpedekpo, G. M. C. and Arya, P. L. (1981), Social and Economic Statistics for Africa. George Allen and Unwin, London.
[5] Olufolabo O. O., Akintande O. J., Ekum M. I. (2015), Analyzing the Distribution of Crimes in Oyo State Using Principal Component Analysis. IOSR Journal of Mathematics (IOSR-JM) Vol. 11 Issue 3
[6] Osuji G. A., Obubu M., Obiora-Iluono H. O. (2015), An Investigation On Crime Rate In Southeastern Nigeria. European Journal of Statistics and Probability Vol. 3, NO 4, 1 –9.
[7] Printcom (2003). http://support.sas.com/onlinedoc/912/getDoc/common.hlp/images/copyrite. htm
[8] Rencher, A. C. (2002), Methods of Multivariate Analysis. 2nd edition, John Wiley & Son, New York.
[9] Shehu, U. G., Dikko, H. G., Yusuf. B., (2012), Analysis of Crime data using Principal Component Analysis. A case study of Katsina state ‘CBN Journal of Applied Statistics vol. 3 No 2: 39.
[10] Soren, H. (2006). Example of multivariate analysis in R – Principal Component Analysis (PCA).
[11] Yusuf Bello et al (2014), Principal Component Analysis of Crime Victimizations in Kastina Senatorial Zone ‘International Journal of Science and Technology Vol. 3 No. 4.
Cite This Article
  • APA Style

    Nasiru Mukaila Olakorede, Samuel Olorunfemi Adams, Samuel Olayemi Olanrewaju. (2017). Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015. American Journal of Theoretical and Applied Statistics, 6(1), 38-43. https://doi.org/10.11648/j.ajtas.20170601.15

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    ACS Style

    Nasiru Mukaila Olakorede; Samuel Olorunfemi Adams; Samuel Olayemi Olanrewaju. Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015. Am. J. Theor. Appl. Stat. 2017, 6(1), 38-43. doi: 10.11648/j.ajtas.20170601.15

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    AMA Style

    Nasiru Mukaila Olakorede, Samuel Olorunfemi Adams, Samuel Olayemi Olanrewaju. Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015. Am J Theor Appl Stat. 2017;6(1):38-43. doi: 10.11648/j.ajtas.20170601.15

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  • @article{10.11648/j.ajtas.20170601.15,
      author = {Nasiru Mukaila Olakorede and Samuel Olorunfemi Adams and Samuel Olayemi Olanrewaju},
      title = {Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {6},
      number = {1},
      pages = {38-43},
      doi = {10.11648/j.ajtas.20170601.15},
      url = {https://doi.org/10.11648/j.ajtas.20170601.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170601.15},
      abstract = {This paper analyses Abuja crime data which consists of the averages of twenty major crimes reported to the police for the period 1995 – 2015. Correlation analysis and principal component analysis (PCA) were employed to explain the correlation between the crimes and to determine the distribution of the crimes over the three Area Councils under the Gwagwalada Area Command. The result has shown a significant correlation between robbery and rape, grievous hurt and wound (GHW), theft, assault, murder and unlawful escape. Gwagwalada Area Council has the highest overall crime rate i.e. Rape, Robbery, GHW, Theft, Assault, Murder and unlawful escape in the Area Command. Unlawful possession, breach of peace and broken store are more prevalence in Kwali Area Council while Vehicle theft, car stealing and burglary are more prevalence in Kuje Area Council Area. The PCA has suggested retaining three components (Rape, Robbery and GHW) that explain about 86.873 percent of the total variability of the data set.},
     year = {2017}
    }
    

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    T1  - Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015
    AU  - Nasiru Mukaila Olakorede
    AU  - Samuel Olorunfemi Adams
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    Y1  - 2017/02/06
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    DO  - 10.11648/j.ajtas.20170601.15
    T2  - American Journal of Theoretical and Applied Statistics
    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
    SP  - 38
    EP  - 43
    PB  - Science Publishing Group
    SN  - 2326-9006
    UR  - https://doi.org/10.11648/j.ajtas.20170601.15
    AB  - This paper analyses Abuja crime data which consists of the averages of twenty major crimes reported to the police for the period 1995 – 2015. Correlation analysis and principal component analysis (PCA) were employed to explain the correlation between the crimes and to determine the distribution of the crimes over the three Area Councils under the Gwagwalada Area Command. The result has shown a significant correlation between robbery and rape, grievous hurt and wound (GHW), theft, assault, murder and unlawful escape. Gwagwalada Area Council has the highest overall crime rate i.e. Rape, Robbery, GHW, Theft, Assault, Murder and unlawful escape in the Area Command. Unlawful possession, breach of peace and broken store are more prevalence in Kwali Area Council while Vehicle theft, car stealing and burglary are more prevalence in Kuje Area Council Area. The PCA has suggested retaining three components (Rape, Robbery and GHW) that explain about 86.873 percent of the total variability of the data set.
    VL  - 6
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Author Information
  • Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria

  • Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria

  • Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria

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