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Data Visualization of Violent Crime Hotspots in Malaysia

  • Namelya Binti Anuar
  • Bee Wah YapEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 937)

Abstract

Crime is a critical issue that has gained significant attention in many countries including Malaysia. The Malaysian government has invested in a system known as the Geographical Information System (GIS) to map the crime hotspots in high prospect zones. However, the occurrences of violent crimes continue to increase at an alarming rate despite the implementation of the system. In order to combat crimes in a more effective manner in recent years, crime mapping has been proposed to identify crime hotspots in the country. This study applies crime mapping to identify crime hotspots in Malaysia. Data on crime for 14 states in Malaysia from 2007–2016 were obtained, with permission, from the Royal Malaysia Police or known as Police DiRaja Malaysia (PDRM) in Bahasa Malaysia. Data visualization was carried out using Tableau to gain more insights on the patterns and behaviours from violent crime data. The results show that Selangor has the highest number of violent crimes, followed by Kuala Lumpur and Johor. Perlis has the lowest number of violent crimes. Gang robbery is the highest in all 14 states. Interestingly, violent crimes being the highest in Selangor which also has the highest youth population. There is also a strong significant positive correlation between number of violent crime and youth population.

Keywords

Data visualization Violent crime Crime mapping Hotspots 

Notes

Acknowledgement

We would like to thank the Polis DiRaja Malaysia (PDRM) for the permission to use the crime data for academic purpose, we are also grateful to the Research Management Centre (RMC) UiTM for the financial support under the university Research Entity Initiatives Grant (600-RMI/DANA 5/3/REI (16/2015)).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Centre for Statistical and Decision Science Studies, Faculty of Computer and Mathematical SciencesUniversiti Teknologi MARAShah AlamMalaysia
  2. 2.Advanced Analytics Engineering Centre, Faculty of Computer and Mathematical SciencesUniversiti Teknologi MARAShah AlamMalaysia

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