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The accuracy of geographic profiling methods based on the example of burglaries in Warsaw

Data publikacji: 03.12.2021

Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2021, 125, s. 51 - 65

https://doi.org/10.4467/12307483PFS.20.004.14784

Autorzy

Michał Górski
Kolegium Międzywydziałowych Indywidualnych Studiów Matematyczno-Przyrodniczych, Uniwersytet Warszawski
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Tytuły

The accuracy of geographic profiling methods based on the example of burglaries in Warsaw

Abstrakt

In the current study different geographic profiling methods were tested on a sample of burglaries in Warsaw. Overall 38 crime series were included in study, accuracy was measured as hit score and error distance. Results show limited obtained accuracy, comparably lower than what can be seen in similar tests conducted in western cities, but each method also shows improvement with series length. This shows that it is possible to use geographic profiling in polish setting, but also that there are significant limitations that one has to consider.

Bibliografia

1. Canter, D., Hammond, L. (2007). Prioritizing burglars: comparing the effectiveness of geographical profiling methods. Police Practice and Research, 8(4), 371–384. https://doi.org/10.1080/15614260701615086. 

2. Canter, D., Hammond, L., Youngs, D., Juszczak, P. (2012). The efficacy of ideographic models for geographical offender profiling. Journal of Quantitative Criminology, 29(3), 423–446. https://doi.org/10.1007/s10940-012-9186-6.

3. 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.

4. Chainey, S. (2008). Crime mapping case studies: practice and research. Chichester: John Wiley & Sons.

5. Chainey, S., Ratcliffe, J. (2008). GIS and crime mapping. Chichester: Wiley. 

6. Field, A. P., Miles, J., Field, Z. (2013). Discovering statistics using R. SAGE Publications Ltd.

7. Goldschneider, M. (2012). Przestępczość na warszawskiej Pradze z perspektywy współczesnych teorii ekologicznych w kryminologii. Archiwum Kryminologii, 34, 207–252.

8. Górski, M. (2018a). The distance covered by perpetrators and their behaviour at the scene of the incident in the case of burglaries and robberies, Problems of Forensic Sciences113, 27–50.

9. Górski, M. (2018b). Buffer zone and circle theory on the example of burglaries and robberies, Problems of Forensic Sciences, 113, 51–66.

10. Levine, N. (2013). Chapter 13: Journey-to-crime estimation(In) N. Levine, CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (v 4.0). Houston: Ned Levine Associates, Washington: National Institute of Justice. http://www.nij.gov/CrimeStat.

11. Mburu, L., Helbich, M. (2014). Evaluating the accuracy and effectiveness of criminal geographic profiling methods: The case of Dandora, Kenya. The Professional Geographer67(1), 110–120. https://doi.org/10.1080/00330124.2014.886921.

12. Mordwa, S. (2019). Profilowanie geograficzne, czyli wykorzystanie analiz przestrzennych do wykrywania sprawców przestępstw. Space, Society, Economy, 30, 51–75. https://doi.org/10.18778/1733-3180.30.03.

13. Paulsen, D. (2006). Human versus machine: a comparison of the accuracy of geographic profiling methods. Journal of Investigative Psychology and Offender Profiling3(2), 77–89. https://doi.org/10.1002/jip.46.

14. Paulsen, D. (2007). Improving geographic profiling through commuter/marauder prediction. Police Practice and Research, 8(4), 347–357. doi:10.1080/15614260701615045.

15. Rich, T., Shively, M. (2004). A methodology for evaluating geographic profiling software. Cambridge, MA: Abt Associates.

16. Rossmo, D. K. (2005a). Geographic heuristics or shortcuts to failure?: response to Snook et al. Applied Cognitive Psychology, 19(5), 651–654. https://doi.org/10.1002/acp.1144.

17. Rossmo, D. K. (2005b). An evaluation of NIJ’s evaluation methodology for geographic profiling software, 9.03.2005. Retrieved June 30, 2021 from: http://www.txstate.edu/gii/geographic-profiling/publications/contentParagraph/01/document/Response%20to%20NIJ%20GP%20Evaluation%20Methodology.doc .

18. Snook, B., Canter, D., Bennell, C. (2002). Predicting the home location of serial offenders: a preliminary comparison of the accuracy of human judges with a geographic profiling system. Behavioral Sciences & the Law20(1–2), 109–118. https://doi.org/10.1002/bsl.474.

19. Snook, B., Taylor, P. J., Bennell, C. (2003). Geographic profiling: the fast, frugal, and accurate way. Applied Cognitive Psychology, 18(1), 105–121. https://doi.org/10.1002/acp.956.

20. Snook, B., Taylor, P. J., Bennell, C. (2005a). Shortcuts to geographic profiling success: a reply to Rossmo (2005). Applied Cognitive Psychology, 19(5), 655–661. https://doi.org/10.1002/acp.1142.

21. Snook, B., Zito, M., Bennell, C., Taylor, P. J. (2005b). On the complexity and accuracy of geographic profiling strategies. Journal of Quantitative Criminology, 21(1), 1–26. https://doi.org/10.1007/s10940-004-1785-4.

22. Wickham, H. (2009). ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag.

Informacje

Informacje: Problems of Forensic Sciences (Z Zagadnień Nauk Sądowych), 2021, 125, s. 51 - 65

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

The accuracy of geographic profiling methods based on the example of burglaries in Warsaw

Angielski:

The accuracy of geographic profiling methods based on the example of burglaries in Warsaw

Autorzy

Kolegium Międzywydziałowych Indywidualnych Studiów Matematyczno-Przyrodniczych, Uniwersytet Warszawski

Publikacja: 03.12.2021

Otrzymano: 16.07.2021

Zaakceptowano: 10.10.2021

Status artykułu: Otwarte __T_UNLOCK

Licencja: CC BY-NC-ND  ikona licencji

Udział procentowy autorów:

Michał Górski (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski, Polski