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Testing the Spatial Accuracy of Address-Based Geocoding for Gunshot Locations
Univ Texas Dallas, Criminol, Sch Econ Polit & Policy Sci, Dallas, TX 75023 USA..ORCID iD: 0000-0003-2255-1316
Malmö University, Faculty of Health and Society (HS), Department of Criminology (KR).ORCID iD: 0000-0002-2145-113X
Univ Texas Dallas, Dallas, TX USA..
2020 (English)In: Professional Geographer, ISSN 0033-0124, E-ISSN 1467-9272, Vol. 72, no 3, p. 398-410Article in journal (Refereed) Published
Abstract [en]

We assess the positional accuracy of address-based geocoding of shooting incidents relative to the location recorded via acoustic gunshot detection technology. This provides a test of the accuracy of typical address-based geocoding methods used in crime analysis, as well as evidence for how much accuracy one gains when using sensors. Examining more than 1,000 shooting incidents in Wilmington, North Carolina, we find that the majority of address-based incidents are quite accurate, on average within 60 feet of the actual location (using a street centerline geocoder) or within 90 feet (using Google rooftop geocoding). Based on the incident narrative, however, we identify a subset of transcription errors in over 10 percent of the cases that increases the distance between the true shooting location and that geocoded using address data. This suggests that mechanisms to prevent human errors might be more frugal than those relying on sensors in geocoding shooting incidents.

Place, publisher, year, edition, pages
Routledge, 2020. Vol. 72, no 3, p. 398-410
Keywords [en]
geocoding, gunshot detection, shootings, ShotSpotter, spatial accuracy
National Category
Other Legal Research Criminology
Research subject
Criminology
Identifiers
URN: urn:nbn:se:mau:diva-17287DOI: 10.1080/00330124.2020.1730195ISI: 000524668200001Scopus ID: 2-s2.0-85083382294OAI: oai:DiVA.org:mau-17287DiVA, id: diva2:1430574
Available from: 2020-05-15 Created: 2020-05-15 Last updated: 2025-02-20Bibliographically approved

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Wheeler, Andrew P.Gerell, Manne

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  • de-DE
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