This study examined the trends and spatial variations of crime types from 1999 to 2008 for turkey, using judicial statistics, geographic information system (GIS) and statistical methods. Changes in crime rates and their statistical significance levels were determined by using trend analysis with linear regression equation. Visualized trends, rates and predictions were interpreted to explain the crime patterns. According to the results while public order crimes (property and violent) were increased, traffic and financial crimes were decreased in turkey at ten years period.


Bu çalışmada 1999 ve 2008 yılları arasında toplanan adalet istatistikleri coğrafi bilgi sistemleri ve istatistiksel yöntemler kullanılarak incelendi. Suç oranlarındaki değişimler ve bu değişimlerin istatistiksel anlamlılığı trend analizi kullanılarak belirlendi. Görselleştirilen trendler, oranlar ve tahminler suç yapılarını açıklamak için yorumlandı. Suç yapıları incelendiğinde mülke ve şahsa karşı işlenen suçların oranlarında artış görülürken trafik ve finansal suçların oranlarında azalma olduğu tespit edildi.


  • Cohen, L.E. and Felson, M., (1979). "Social Change and Crime Rate Trends: A Routine Activity Approach", American Sociological Review, vol. 44 (4): 588-605.
  • Brantingham, P.L. and Brantingham, P., (1993). "Environment, Routine and Situation: Toward a Pattern Theory of Crime". In: Clarke RV, Felson M. (eds), Advances in Criminological Theory 5. New Brunswick, NJ: Transaction Publishers, pp. 259-294.
  • Appiahene-Gyamfi, J., (2003). "Urban crime trends and patterns in Ghana: The case of Accra". Journal of Criminal Justice, vol. 31 (1), pp. 13-23.
  • Li, J. and Rainwater, J., (2000). "The Real Picture of Land-Use Density and Crime: A GIS Application", in: Proceedings of the 20nd annual ESRI International User Conference.
  • Ratcliffe, J.H., (2004). "Crime Mapping and the Training Needs of Law Enforcement", European Journal on Criminal Policy and Research, vol. 10 (1), pp. 65–83.
  • Canter, P.R., (1997). "Geographic Information Systems and Crime Analysis in Baltimore County, Maryland". In: Weisburd D and McEwen JT (eds) Crime Mapping and Crime Prevention. Monsey, NY: Criminal Justice Press, pp. 157-190.
  • Murray, T., McGuffog, I., Western, J.S., and Mullins, P., (2001). "Exploratory Spatial Data Analysis Techniques for Examining Urban Crime", British Journal of Criminology, vol. 41 (2), pp. 309–329.
  • Groff, E.R. and LaVigne, N.G., (2002). "Forecasting the Future of Predictive Crime Mapping", In: Tilley N (ed.) Analysis for Crime Prevention 13. Monsey NY: Criminal Justice Press, pp. 29- 58.
  • Harries, K., (2006). "Extreme Spatial Variations in Crime Density in Baltimore County, MD". Geoforum, vol. 37 (30), pp. 404–416.
  • Brunsdon, C., Corcoran, C., and Higgs, G., (2007). "Visualising Space and Time in Crime Patterns: A Comparison of Methods". Computers, Environment and Urban Systems, vol. 31(1), pp. 52–75.
  • Ceccato, V., (2007). "Crime Dynamics at Lithuanian Borders", European Journal of Criminology, vol. 4 (2), pp. 131–160.
  • Grubesic, T.H. and Mack, E.A., (2008). "Spatio-Temporal Interaction of Urban Crime", Journal of Quantitative Criminology, vol. 24 (3), pp. 285–306.
  • Li, S.T., Kuo, S.C., and Tsai, F.C., (2010). "An Intelligent Decision-Support Model Using FSOM and Rule Extraction for Crime Prevention", Expert Systems with Applications, vol. 37 (10), pp. 7108–7119.
  • Turkstat, (2009). Prison Statistics. Publication No: 3586, Ankara, Turkey.
  • Bahar, H.I. and Fert, I., (2008). "The Debate over Recent Recorded Crime in Turkey", International Journal of Social Inquiry, vol. 1(1), pp. 89-104.
Physical Sciences-Cover
  • Başlangıç: 2009
  • Yayıncı: E-Journal of New World Sciences Academy