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Explorative Spatial Analysis of Crime Rates Among the District of Peninsular Malaysia: Geographically Weighted Regression

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Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015)

Abstract

In crime study, regression analysis can be used to test the relationship between crime rates and factors that are believed to be statistically significant. Regression model also provides the statistically measurable level for each unit change in the independent variables that affect crime rate. However, this global model does not take into account the spatial effects. It is believed that when spatial effects are included, it provides the more accurate coefficient estimates and standard errors for variables of interest. By taking into account the spatial effects, each study location will have unique coefficient estimate which is also known as the local estimates. The objective of this study is to analyze the spatial relationship between crime cases and social, environment and economic status for the districts in Peninsular Malaysia by using the Geographically Weighted Regression (GWR). For comparison purposes, OLS regression, known as global measure model, was used to measure the relationship between violent crime rates with factors that influence it. The results suggest that GWR model fitted better than OLS model.

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Acknowledgments

This research was supported by Short Term Grant offered by Universiti Sains Malaysia (304/PMATHS/6310041) and a postgraduate scholarship from the Ministry of Higher Education, Malaysia. This study also funded by the Research Grants NIC NRGS-UMT (NRGS/2015/53131/30). The crime data were provided by Royal Malaysia Police (PDRM).

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Authors and Affiliations

  1. School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia

    Syerrina Zakaria

  2. School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia

    Nuzlinda Abdul Rahman

Authors
  1. Syerrina Zakaria
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  2. Nuzlinda Abdul Rahman
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Corresponding author

Correspondence to Syerrina Zakaria .

Editor information

Editors and Affiliations

  1. Universiti Teknologi MARA, Kedah, Merbok, Malaysia

    Abd-Razak Ahmad

  2. Universiti Teknologi MARA, Kedah, Merbok, Malaysia

    Liew Kee Kor

  3. Universiti Teknologi MARA, Kedah, Merbok, Malaysia

    Illiasaak Ahmad

  4. Universiti Teknologi Mara, Kedah, Merbok, Malaysia

    Zanariah Idrus

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Zakaria, S., Rahman, N.A. (2017). Explorative Spatial Analysis of Crime Rates Among the District of Peninsular Malaysia: Geographically Weighted Regression. In: Ahmad, AR., Kor, L., Ahmad, I., Idrus, Z. (eds) Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015). Springer, Singapore. https://doi.org/10.1007/978-981-10-2772-7_15

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  • DOI: https://doi.org/10.1007/978-981-10-2772-7_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2770-3

  • Online ISBN: 978-981-10-2772-7

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