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

Nasiru Mukaila Olakorede; Samuel Olorunfemi Adams; Samuel Olayemi Olanrewaju

doi:doi:10.11648/j.ajtas.20170601.15

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

Nasiru Mukaila Olakorede, Samuel Olorunfemi Adams, Samuel Olayemi Olanrewaju

Published in American Journal of Theoretical and Applied Statistics (Volume 6, Issue 1)

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

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[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.

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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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TY  - JOUR
T1  - Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015
AU  - Nasiru Mukaila Olakorede
AU  - Samuel Olorunfemi Adams
AU  - Samuel Olayemi Olanrewaju
Y1  - 2017/02/06
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170601.15
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
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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
IS  - 1
ER  -

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Author Information

Nasiru Mukaila Olakorede

Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria
Samuel Olorunfemi Adams

Department of Statistics, Faculty of Science, University of Abuja, Abuja, Nigeria
Samuel Olayemi Olanrewaju

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - Principal Component Analysis of Crime Data in Gwagwalada Area Command, Abuja from 1995 – 2015
AU  - Nasiru Mukaila Olakorede
AU  - Samuel Olorunfemi Adams
AU  - Samuel Olayemi Olanrewaju
Y1  - 2017/02/06
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170601.15
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
IS  - 1
ER  -

Copy | Download