Address matching bias: Ignorance is not bliss

Policing

Volumn 30, Issue 1, 2007, Pages 32-60

  Bichler, Gisela ^a   Balchak, Stefanie ^b  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b Chula Vista Fire Department   (United States)

Author keywords

Bias; Geographic Information Systems

Indexed keywords

EID: 33847404831     PISSN: 1363951X     EISSN: None     Source Type: Journal    
DOI: 10.1108/13639510710725613     Document Type: Article

References (30)

1. Bichler, G. (2004), "Acknowledging the influence of geographic outliers: an analytic caution in examining chronic repeat victimization", Security Journal, Vol. 17 No. 1, pp. 31-49.
2. Bichler-Robertson, G. and Conley, J. (2003), "¿Se Habla Espanol? Reconciling geocoding conflict between census street files and ESRI software", Crime Mapping News, Vol. 5 No. 2, pp. 10-13.
3. Block, R. (1995), "Geocoding of crime incidents using the 1990 TIGER file: the Chicago example", in Block, C.R., Dabdoub, M. and Fregly, S. (Eds), Crime Analysis Through Computer Mapping (189-193), Police Executive Research Forum, Washington, DC.
4. Block, R.L. and Block, C.R. (1995), "Space, place, and crime: hot spot areas and hot places of liquor-related crime", in Eck, J.E. and Weisburd, D. (Eds), Crime Prevention Studies (145-197), Willow Tree Press, Inc, Monsey, New York, NY.
5. Blosser, M. (1995), "Modeling address ranges", Proceedings of the Fifteenth Annual ESRI User Conference, available at: http://gis.esri.com/ library/userconf/proc95/to300/p258.html.
6. Boba, R. (2001), Introductory Guide to Crime Analysis and Mapping, Office of Community Oriented Policing Services, US Department of Justice, Washington, DC.
7. Drummond, W.J. (1995), "Address matching", Journal of the American Planning Association, Vol. 61 No. 2, pp. 240-51.
8. ESRI Support Center (2004), available at: http://support.esri.com (accessed June 2002 to June 2004).
9. George, D. and Mallery, P. (2001), SPSS for Windows Step by Step: A Simple Guide and Reference, Allyn and Bacon, Boston, MA.
10. Groff, E.R. and La Vigne, N.G. (2001), "Mapping an opportunity surface of residential burglary", Journal of Research in Crime and Delinquency, Vol. 38 No. 3, pp. 257-78.
11. Harries, K. (1999), Mapping Crime: Principle and Practice, National Institute of Justice, Officer of Justice Programs, Washington, DC.
12. La Vigne, N. and Wartell, J. (2001), "Tracking gang activity in Orange County, California", Mapping Across Boundaries, Police Executive Research Forum, Washington, DC, pp. 25-40.
13. McCleary, R., Nienstedt, B.C. and Erven, J.M. (1982), "Uniform crime reports as organizational outcomes: three time series experiments", Social Problems, Vol. 29 No. 4, pp. 361-72.
14. Mamalian, C. and La Vigne, N. (1999), "National Institute of Justice Research Preview", The Use of Computerized Crime Mapping by Law Enforcement: Survey Results, National Institute of Justice, Washington, DC.
15. Martin, D. and Higgs, G. (1997), "Population georeferencing in England and Wales: basic spatial units reconsidered", Environment and Planning A, Vol. 29, pp. 333-47.
16. Mills, J. (1999), "Tain't necessarily so: address geocoding in the real world", Proceedings of the Nineteenth Annual ESRI User Conference, available at: http://gis.esri.com/library/userconf/proc99 (accessed in June 2003).
17. Myrtveit, I., Stensrud, E. and Olsson, U. (2001), "Analyzing data sets with missing data: an empirical evaluation of imputation methods and likelihood-based methods", IEEE Transactions on Software Engineering, Vol. 27 No. 11, pp. 999-1014.
18. O'Shea, T. and Nicholls, K. (2002), Crime Analysis in America, Center for Public Policy, University of South Alabama, Mobile, AL.
19. Ormsby, T., Napoleon, E., Groess, C. and Feaster, L. (2004), Getting to Know ArcGis Desktop, ESRI Press, Redlands, CA (updated for ArcGIS 9).
20. Pease, K. and Laycock, G. (1996), Reducing the Heat on Hot Victims, Bureau of Justice Statistics, Washington, DC.
21. Police Foundation (2000), Integrating Community Policing and Computer Mapping: Assessing Issues and Needs Among COPS Office Grantees, Crime Mapping Laboratory, Washington, DC.
22. Ratcliffe, J. (2001), "On the accuracy of TIGER-type geocoded address data in relation to cadastral and census areal units", International Journal of Geographic Information Science, Vol. 15 No. 5, pp. 473-85.
23. Ratcliffe, J. (2002a), "Damned if you don't, damned if you do: crime mapping and its implications in the real world", Policing and Society, Vol. 12 No. 3, pp. 211-25.
24. Ratcliffe, J. (2002b), personal communications listed on the Crime Mapping Listserve, results of an informal survey of geocoding hit rates by active crime analysts.
25. Ratcliffe, J. (2003), The Hotspot Matrix as a Framework for the Spatio-Temporal Targeting of Crime Reduction, paper presented at the 11th International Symposium on Environmental Criminology and Crime Analysis, Cincinnati, OH, June 19-21.
26. Ratcliffe, J. (2004), "The Hotspot Matrix: a framework for the spatio-temporal targeting of crime reduction", Police Practice and Research, Vol. 5 No. 1, pp. 5-23.
27. Ratcliffe, J. and McCullagh, M. (1998), "Identifying repeat victimization with GIS", British Journal of Criminology, Vol. 38 No. 4, pp. 651-62.
28. Townsley, M., Homel, R. and Chaseling, J. (2000), "Repeat burglary victimisation: spatial and temporal patterns", The Australian and New Zealand Journal of Criminology, Vol. 33 No. 1, pp. 37-63.
29. US Census Bureau (2004), TIGER®, TIGER/Line® and TIGER-Related Products, www.census.gov/www/tiger/index.html (accessed repeatedly June 2002 to June 2004).
30. Verma, A. and Lodha, S.K. (2002), "A topological representation of the criminal event", Western Criminology Review, Vol. 3 No. 2, available at: http://wcr.sonoma.edu/v3n2/verma.html.