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 ID: 231597
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Slide1
Temporal analysis
of aoristic crime
Matt
Ashby
UCL Security Science Doctoral
Research Training CentreSlide2
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?Slide3
0900 hoursThe problem of aoristic crime
1200
1800
Earliest possible
offence time
Latest possible
offence time
10 hoursSlide4
Records of 1,396 pedal cycle thefts from railway stations, including offence start and end times and a description of
the investigation.DataSlide5
0900 hours
1200
1800
Earliest possible
offence time
Latest possible
offence time
Actual offence
time from
CCTV
(303 crimes)Slide6Slide7