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)


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.


Data visualization Violent crime Crime mapping Hotspots 



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)).


  1. 1.
    Zakaria, S., Rahman, N.A.: The mapping of spatial patterns of property crime in Malaysia: normal mixture model approach. J. Bus. Soc. Dev. 4(1), 1–11 (2016)Google Scholar
  2. 2.
    Ishak, S.: Perceptions of people on police efficiency and crime prevention in urban areas in Malaysia. Econ. World 4(5), 243–248 (2016).
  3. 3.
    Muhammad Amin, B., Mohammad Rahim, K., Geshina Ayu, M.S.: A trend analysis of violent crimes in Malaysia. Health 5(2), 41–56 (2014)Google Scholar
  4. 4.
    Performance Management and Delivery Unit (PEMANDU). GTP Annual Report 2010 (2010).
  5. 5.
    Habibullah, M.S., Baharom, A.H., Muhamad, S.: Crime and police personnel in Malaysia: an empirical investigation. Taylor’s Bus. Rev. (TBR) 4(2), 1–17 (2014)CrossRefGoogle Scholar
  6. 6.
    Overseas Security Advisory Council. Malaysia 2015 Crime and Safety Report (2015).
  7. 7.
    Sidhu, A.S.: The rise of crime in Malaysia: an academic and statistical analysis. J. Kuala Lumpur R. Malays. Police Coll. 4, 1–28 (2005)Google Scholar
  8. 8.
    Overseas Security Advisory Council. Malaysia 2016 Crime and Safety Report (2016).
  9. 9.
    Nelson, A.L., Bromley, R.D., Thomas, C.J.: Identifying micro-spatial and temporal patterns of violent crime and disorder in the British city centre. Appl. Geogr. 21(3), 249–274 (2001)CrossRefGoogle Scholar
  10. 10.
    Zainol, R., Yunus, F., Nordin, N.A., Maidin, S.L.: Empowering Community Neighborhood Watch with Crime Monitoring System using Web-Based GIS, 1–10 (2011)Google Scholar
  11. 11.
    Foon Tang, C.: An exploration of dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia. Int. J. Soc. Econ. 38(1), 50–69 (2011)CrossRefGoogle Scholar
  12. 12.
    Levine, N.: Crime mapping and the crimestat program. Geogr. Anal. 38(1), 41–56 (2006). Scholar
  13. 13.
    Salleh, S.A., Mansor, N.S., Yusoff, Z., Nasir, R.A.: The crime ecology: ambient temperature vs. spatial setting of crime (Burglary). Procedia - Soc. Behav. Sci. 42, 212–222 (2012)CrossRefGoogle Scholar
  14. 14.
    Murray, A.T., McGuffog, I., Western, J.S., Mullins, P.: Exploratory spatial data analysis techniques for examining urban crime. Br. J. Criminol. 41(2), 309–329 (2001). Scholar
  15. 15.
    Bakri, M., Abidin, Siti Z.Z., Shargabi, A.: Incremental filtering visualization of JobStreet Malaysia ICT jobs. In: Mohamed, A., Berry, Michael W., Yap, B.W. (eds.) SCDS 2017. CCIS, vol. 788, pp. 188–196. Springer, Singapore (2017). Scholar
  16. 16.
    Idrus, Z., Abdullah, N.A.S., Zainuddin, H., Ja’afar, A.D.M.: Software application for analyzing photovoltaic module panel temperature in relation to climate factors. In: Mohamed, A., Berry, Michael W., Yap, B.W. (eds.) SCDS 2017. CCIS, vol. 788, pp. 197–208. Springer, Singapore (2017). Scholar
  17. 17.
    Abdullah, N.A.S., Wahid, N.W.A., Idrus, Z.: Budget visual: malaysia budget visualization. In: Mohamed, A., Berry, Michael W., Yap, B.W. (eds.) SCDS 2017. CCIS, vol. 788, pp. 209–218. Springer, Singapore (2017). Scholar
  18. 18.
    Rosli, N.A., Mohamed, A., Khan, R.: Visualisation enhancement of HoloCatT matrix. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, Timothy K. (eds.) IVIC 2009. LNCS, vol. 5857, pp. 675–685. Springer, Heidelberg (2009). Scholar
  19. 19.
    Van Schaaik, J.G., Van Der Kemp, J.J.: Real crimes on virtual maps: the application of geography and GIS in criminology. In: Scholten, H.J., van de Velde, R., van Manen, N. (eds.) Geospatial Technology and the Role of Location in Science, pp. 217–237. Springer, Heidelberg (2009). Scholar
  20. 20.
    Asmai, S.A., Roslin, N.I.A., Abdullah, R.W., Ahmad, S.: Predictive crime mapping model using association rule mining for crime analysis. Age 12, 21 (2014)Google Scholar
  21. 21.
    Boba, R.: Introductory Guide to Crime Analysis and Mapping, 74 (2001).
  22. 22.
    Peddle, D.R., Ferguson, D.T.: Optimisation of multisource data analysis: an example using evidential reasoning for GIS data classification. Comput. Geosci. 28(1), 45–52 (2002)CrossRefGoogle Scholar
  23. 23.
    Markovic, J., Stone, C.: Crime Mapping and the Policing of Democratic Societies. Vera Institute of Justice, New York (2002)Google Scholar
  24. 24.
    Chainey, S., Ratcliffe, J.: GIS and Crime Mapping. Wiley, Wiley (2013)Google Scholar
  25. 25.
    Abdullah, M.A., Abdullah, S.N.H.S., Nordin, M.J.: Smart City Security: Predicting the Next Location of Crime Using Geographical Information System With Machine Learning. Asia Geospatial Forum Malaysia Asia Geospatial Forum, September 2013, pp. 24–26 (2013)Google Scholar
  26. 26.
    Dunham, R.G., Alpert, G.P.: Critical Issues in Policing: Contemporary readings. Waveland Press, Long Grove (2015)Google Scholar
  27. 27.
    Johnson, C.P.: Crime Mapping and Analysis Using GIS. In: Conference on Geomatics in Electronic Governance, Geomatics 2000, pp. 1–5, January 2000Google Scholar
  28. 28.
    Bailey, T.C., Gatrell, A.C.: Interactive Spatial Data Analysis, vol. 413. Longman Scientific & Technical, Essex (1995)Google Scholar
  29. 29.
    Chainey, S., Reid, S., Stuart, N.: When is a hotspot a hotspot? A procedure for creating statistically robust hotspot maps of crime, pp. 21–36. Taylor & Francis, London (2002)Google Scholar
  30. 30.
    Eck, J., Chainey, S., Cameron, J., Wilson, R.: Mapping crime: understanding hotspots (2005)Google Scholar
  31. 31.
    Williamson, D., et al.: Tools in the spatial analysis of crime. Mapp. Anal. Crime Data: Lessons Res. Pract. 187 (2001)Google Scholar
  32. 32.
    Pallant, J.: SPSS Survival Manual. McGraw-Hill Education, New York City (2013)Google Scholar
  33. 33.
    Cohen, L., Manion, L., Morrison, K.: Research Methods in Education. Routledge, Abingdon (2013)CrossRefGoogle Scholar
  34. 34.
    Triola, M.F., Franklin, L.A.: Business Statistics. Addison-Wesley, Publishing Company, Inc., Abingdon (1994)Google Scholar

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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