1. Bernasco, W. (2009). Modeling micro-level crime location choice: Application of the discrete choice framework to crime at places. Journal of Quantitative Criminology, 26(1), 113–138. DOI: 10.1007/s10940-009-9086-6.
2. Bernasco, W., Block, R. (2009). Where offenders choose to attack: A discrete choice model of robberies in Chicago. Criminology, 47(1):, 93–130. DOI: 10.1111/j.1745-9125.2009.00140.x.
3. Brantingham, P. L., Brantingham, P. J. (1991). Environmental criminology. Prospect Heights, IL: Waveland Press.
4. Canter, D., Larkin, P. (1993). The environmental range of serial rapists. Journal of Environmental Psychology, 13(1), 63–69. DOI: 10.1016/s0272-4944(05)80215-4. 
5. Canter, D. V., Coffey, T., Huntley, M., Missen, C. (2000). Predicting serial killers’ home base using a decision support system. Journal of Quantitative Criminology, 16, 457–478.
6. Canter, D., Hammond, L. (2006). A comparison of the efficacy of different decay functions in geographical profiling for a sample of Us serial killers. Journal of Investigative Psychology and Offender Profiling, 3(2), 91–103. DOI: 10.1002/jip.45.
7. Canter, D. V., Youngs, D. (2008). Applications of geographical offender profiling. Aldershot: Ashgate Publishing. 
8. Chainey, S., Ratcliffe, J. (2008). GIS and crime mapping. Chichester: Wiley.
9. Górski, M. (2021). The accuracy of geographic profiling methods based on the example of burglaries in Warsaw. Problems of Forensic Sciences, 125, 51–65.
10. Hammond, L., Youngs, D. (2011). Decay functions and criminal spatial processes: Geographical offender profiling of volume crime. Journal of Investigative Psychology and Offender Profiling, 8(1), 90–102. DOI: 10.1002/jip.132.
11. Levine, N. (2000). Crimestat: A spatial statistics program for the analysis of crime incident locations (version 1.1). Washington, DC: National Institute of Justice.
12. Levine, N., Block, R. (2011). Bayesian journey-to-crime estimation: An improvement in geographic profiling methodology. The Professional Geographer, 63(2), 213–229. https://doi.org/10.1080/00330124.2010.547152.
13. Lundrigan, S., Czarnomski, S., Wilson, M. (2010). Spatial and environmental consistency in serial sexual assault. Journal of Investigative Psychology and Offender Profiling, 7(1), 15–30. DOI: 10.1002/jip.100.
14. O’Leary, M. (2011). Modeling criminal distance decay. Cityscape, 13(3), 161–198. Retrieved June 19, 2017 from https://www.huduser.gov/portal/periodicals/cityscpe/vol13num3/Cityscape_Nov2011_Modelling_Criminal.pdf.
15. Rengert, G. F. (1996). The geography of illegal drugs. Boulder, CO: Westview Press.
16. Rengert, G. F., Piquero, A. R., Jones, P. R. (1999). Distance decay reexamined. Criminology,7(2), 427–446. DOI: 10.1111/j.1745-9125.1999.tb00492.x.
17. Rich, T., Shively, M. (2004). A methodology for evaluating geographic profiling software. Cambridge, MA: Abt Associates inc. Retrieved June 18, 2017 from https:// www.ncjrs.gov/pdffiles1/nij/grants/208993.pdf.
18. Rossmo, D. K. (2000). Geographic profiling. Boca Raton, FL: CRC Press.
19. Rossmo, D. K. (2005). Geographic heuristics or shortcuts to failure? Response to snook et al. Applied Cognitive Psychology, 19(5), 651–654. DOI: 10.1002/acp.1144.
20. Snook, B., Taylor, P. J., Bennell, C. (2005). shortcuts to geographic profiling success: A reply to Rossmo (2005). Applied Cognitive Psychology, 19(5), 655–661. DOI: 10.1002/acp.1142.
21. Wickham, H. (2009). ggplot2: Elegant Graphics for Data Analysis. New York: Springer Verlag.