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Temporal analysis of aoristic crime

Temporal analysis of aoristic crime

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Temporal analysis of aoristic crime

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  1. Temporal analysis of aoristic crime Matt Ashby UCL Security Science Doctoral Research Training Centre

  2. The problem of aoristic crime If you get home to find your house has been burgled, will you be able to tell the police when it happened?

  3. The problem of aoristic crime Earliest possibleoffence time Latest possibleoffence time 0900 hours 1200 1800 10 hours

  4. Data Records of 1,396 pedal cycle thefts from railway stations, including offence start and end times and a description of the investigation.

  5. Actual offencetime from CCTV (303 crimes) Earliest possibleoffence time Latest possibleoffence time 0900 hours 1200 1800