Temporal analysis of aoristic crime Matt Ashby UCL Security Science Doctoral Research Training Centre
Temporal analysis of aoristic crime
Feb 23, 2016
Temporal analysis of aoristic crime. Matt Ashby UCL Security Science Doctoral Research Training Centre. 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?. The p roblem of aoristic crime. - PowerPoint PPT Presentation
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Temporal analysis of aoristic crime
Matt AshbyUCL Security Science Doctoral Research Training Centre
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?
0900 hours
The problem of aoristic crime
1200 1800
Earliest possibleoffence time
Latest possibleoffence time
10 hours
Records of 1,396 pedal cycle thefts from railway stations, including offence start and end times and a description of the investigation.
Data
0900 hours 1200 1800
Earliest possibleoffence time
Latest possibleoffence time
Actual offencetime from CCTV(303 crimes)
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