Identifying Repeat Victimization With Gis
Bibliographic Data
| ID | 8403137 |
|---|---|
| Authors | Jerry H Ratcliffe (0000-0002-0730-6761, University of Nottingham), Michael Mccullagh (University of Nottingham), M J MCCULLAGH |
| Year | 1998 |
| Volume | 38 |
| Issue | 4 |
| Pages | 651-662 |
| Publication date | 1998-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The British Journal of Criminology (JOURNAL) |
| Journal identifiers | ISSN: 0007-0955 • E-ISSN: 1464-3529 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjc/38.4.651 |
| OpenAlex | W1970067770 |
| Language | EN |
| Citations received | 12 |
| References cited | 4 |
Until recently most attempts at identifying repeat victimization locations have focused on searching address fields in police records. Problem with inaccurate data entry and variation in address format make this method fraught with difficulty and time consuming to correct. This study of burglary suggests that a standard GIS package, searching geo-referenced crime locations can dramatically improve the time and accuracy of identifying repeats. The research presented here appears generally consistent with other published work in that the period of highest risk is immediately after an initial burglary. The study covers a longer period than usual. Two years' worth of data raises issues regarding definitions of repeat victimization.
Data mining · Data science · Period (music) · Variation (astronomy) · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Data-Driven Disease Surveillance
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| Unique citing works | 12 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2002 - 2023 (22) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 10 |