Geocoding accuracy considerations in determining residency restrictions for sex offenders

Criminal Justice Policy Review

Volumn 20, Issue 1, 2009, Pages 62-90

  Zandbergen, Paul A ^a   Hart, Timothy C ^b  

^a UNIVERSITY OF NEW MEXICO   (United States)

^b UNIVERSITY OF NEVADA   (United States)

Author keywords

Geographic Information Systems (GIS); Parcel geocoding; Positional accuracy; Street geocoding

Indexed keywords

EID: 59849091536     PISSN: 08874034     EISSN: 15523586     Source Type: Journal    
DOI: 10.1177/0887403408323690     Document Type: Article

References (44)

1. Bichler, G., & Balchak, S. (2007). Address matching bias: Ignorance is not bliss. Policing: An International Journal of Police Strategies & Management, 30, 32-60.
2. Bonner, M.R., Han, D., Nie, J., Rogerson, P., Vena, J.E., & Freudenheim, J.L. (2003). Positional accuracy of geocoded addresses in epidemiologic research. Epidemiology, 14, 408-412.
3. Burra, T., Jerrett, M., Burnett, R.T., & Anderson, M. (2002). Conceptual and practical issues in the detection of local disease clusters: A study of mortality in Hamilton, Ontario. Canadian Geographer, 46, 160-171.
4. Cayo, M.R., & Talbot, T.O. (2003). Positional error in automated geocoding of residential addresses. International Journal of Health Geographics, 3, 5.
5. Chrisman, N.R. (1991). The error component in spatial data. In D. J. Maguire, M. F. Goodchild, & D. W Rhind (Eds.), Geographical information systems (pp. 165-174). London: Longman.
6. Clontz, K.A., & Mericle, J.G. (2004). Testing of apparent child sex offender clustering. Retrieved November 11, 2007, from http://gis.esri.com/library/userconf/proc04/docs/pap1261.pdf
7. Couclelils, H. (2003). The certainty of uncertainty: GIS and the limits of geographic knowledge. Transactions in GIS, 7, 165-175.
8. Council of State Governments. (2007). Sex offender residency restriction laws. Lexington, KY: Author. Retrieved November 15, 2007, from http://www.csg.org/policy/pubsafety/documents/ ResidencyRestrictionLaws.pdf
9. Dearwent, S.M., Jacobs, R.R., & Halbert, J.B. (2001). Locational uncertainty in georeferencing public health datasets. Journal of Exposure Analysis and Environmental Epidemiology, 11, 329-334.
10. Federal Geographic Data Committee. (1998). Geospatial positional accuracy standards Part 3: National standard for spatial data accuracy. Reston, VA: Author.
11. Foody, G. M., & Atkinson, P. M. (Eds.). (2002). Uncertainty in remote sensing and GIS. Hoboken, NJ: Jossey-Bass.
12. Goldberg, D.W., Wilson, J.P., & Knoblock, C.A. (2007). From text to geographic coordinates: The current state of geocoding. URISA Journal, 19, 33-46.
13. Grubesic, T.H., Mack, E., & Murry, A.T. (2007). Geographic exclusion: Spatial analysis for evaluating the implications of Megan's Law. Social Science Computer Review, 25, 143-162.
14. Harries, K. (1999). Mapping crime: Principle and practice. Washington, DC: U.S. Department of Justice, National Institute of Justice.
15. Jacquez, G.M., & Waller, L.A. (2000). The effect of uncertain locations on disease cluster statistics. In H. T. Mowrer & R. G. Congalton (Eds.), Quantifying spatial uncertainty in natural resources: Theory and applications for GIS and remote sensing (pp. 53-64). Chelsea, MA: Arbor Press.
16. Karimi, H.A., & Durcik, M. (2004). Evaluation of uncertainties associated with geocoding techniques. Computer-Aided Civil and Infrastructure Engineering, 19, 170-185.
17. Krieger, N., Waterman, P., Lemieux, K., Zierler, S., & Hogan, J.W. (2001). On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research. American Journal of Public Health, 91, 1114-1116.
18. Landis, J.R., & Koch, G.G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174.
19. MacEachren, A.M., Robinson, A., Hopper, S., Gardner, S., Murray, R., Gahegan, M., et al. (2005). Visualizing geospatial information uncertainty: What we know and what we need to know. Cartography and Geographic Information Science, 32, 139-160.
20. Maghelal, P., & Olivares, M. (2003). Critical risk zones: Violators of Megan law. Retrieved November 11, 2007, from http://gis.esri.com/ library/userconf/proc05/papers/pap2035.pdf
21. Minnesota Department of Corrections. (2007). Residential proximity and sex offense recidivism in Minnesota. St. Paul, MN: Author.
22. Ratcliffe J.H. (2001). On the accuracy of TIGER-type geocoded address data in relation to cadastral and census areal units. International Journal of Geographical Information Science, 15, 473-485.
23. Reaves, B.A., & Hart, T.C. (2000). Law enforcement management and administrative statistics, 1999: Data for individual state and local agencies with 100 or more officers (NCJ 184481). Washington, DC: United States Department of Justice, Office of Justice Programs, Bureau of Justice Statistics.
24. Rushton, G., Armstrong, M., Gittler, J., Greene, B., Pavlik, C., West, M., et al. (2006). Geocoding in cancer research: A review. American Journal of Preventive Medicine, 30, S16-S24.
25. Schootman, M., Sterling, D.A., Struthers, J., Yan, Y., LaBoube, T., Emo, B., et al. (2007). Positional accuracy and geographic bias of four methods of geocoding in epidemiologic research. Annals of Epidemiology, 17, 464-470.
26. Stage, S., & Von Meyer, N. (2003). An assessment of parcel data in the United States. Reston, VA: United States Geological Survey, Federal Geographic Data Committee's Subcommittee on Cadastral Data.
27. State of California Department of Justice. (2007). California sex offender locator map. Retrieved November 11, 2007, from http://www.meganslaw.ca.gov
28. Strickland, M.J., Siffel, C., Gardner, B.R., Berzen, A.K., & Correa, A. (2007). Quantifying geocode location error using GIS methods. Environmental Health, 6, 10.
29. United States Department of Justice. (2007). National sex offender public Web site. Retrieved November 11, 2007, from http://www.nsopr.gov/
30. United States Geological Survey. (USGS). (1999). Map accuracy standards (United States Geological Survey Fact Sheet 171-99). Reston, VA: Author.
31. Vision 20/20. (2007). Vision 20/20 POM offender locator. Available from www.thevision2020.com
32. Waller, L.A. (1996). Statistical power and design of focused clustering studies. Statistics in Medicine, 15, 765-782.
33. Ward, M.H., Nuckols, J.R., Giglierano, J., Bonner, M.R., Wolter, C., Airola, M., et al. (2005). Positional accuracy of two methods of geocoding. Epidemiology, 16, 542-547.
34. Welchans, S. (2005). Megan's law: Evaluations of sexual offender registries. Criminal Justice Policy Review, 16, 123-140.
35. Whitsel, E.A., Quibrera, P.M., Smith, R.L., Catellier, D.J., Liao, D., Henly, A.C., et al. (2006). Accuracy of commercial geocoding: Assessment and implications. Epidemiologic Perspectives & Innovations, 3, 8.
36. Whitsel, E.A., Rose, K.M., Wood, J.L., Henley, A.C., Liao, D. & Heiss, G. (2004). Accuracy and repeatability of commercial geocoding. American Journal of Epidemiology, 160, 1023-1029.
37. Zandbergen, P.A. (2007). Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads. BMC Public Health, 7, 37.
38. Zandbergen, P.A. (2008). Positional accuracy of spatial data: Non-normal distributions and a critique of the national standard for spatial data accuracy. Transactions in GIS, 12, 103-130.
39. Zandbergen, P.A., & Green, J.W. (2007). Error and bias in determining exposure potential of children at school locations using proximity-based GIS techniques. Environmental Health Perspectives, 115, 1363-1370.
40. Zandbergen, P.A., & Hart, T.C. (2006). Reducing housing options for convicted sex offenders: Investigating the impact of residency restriction laws using GIS. Justice Research and Policy, 8, 1-24.
41. Zhan, F.B., Brender, J.D., De Lima, I., Suarez, L., & Langlois, P.H. (2006). Match rate and positional accuracy of two geocoding methods for epidemiologic research. Annals of Epidemiology, 16, 842-849.
42. Zhang, J., & Goodchild, M. F. (Eds.). (2002). Uncertainty in geographical information. New York: Taylor and Francis.
43. Zimmerman, D.L. (2008). Estimating the intensity of a spatial point process from locations coarsened by incomplete geocoding. Biometrics, 64, 262-270.
44. Zimmerman, D.L., Fang, X., Mazumdar, S., & Rushton, G. (2007). Modeling the probability distribution of positional errors incurred by residential address geocoding. International Journal of Health Geographics, 6, 1.