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Lastly, the aggregated robbery data were appended to the aggregated weather data.
Recorded street robbery data were provided by (at the time) Strathclyde Policec for 2002 2011.
We do so using police recorded street robbery data, which is defined as stealing property from a person by means of violence or threats of violence.
The resulting robbery data was then 'queried and clipped' into two peak time periods, the 3 pm school-day robbery points and the 1 am non-school day robbery points, and then exported out of ArcGIS.
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The temporal analysis was completed using robbery point data that was 'queried, clipped, and exported' from each individual cluster and then analyzed in Microsoft Excel (i.e. surface chart).
As a result of the relationship between offenders, victims, and places/schools for the 3 pm crime peak, a time space analysis was conducted and the total robbery points data was disaggregated, by school weeks (weeks when public schools are in session vs. weeks when public schools are not in session), over the 5-year study period.
It is worth stating that model 1 overall only explains 6.8percentnt of the variance in the count of robbery per shift over the data period (based on the pseudo R2 value) – a rather limited amount, but in keeping with prior research (Cohn & Rotton 2000).
The New York Police Department does not keep citywide, item-specific data on the robberies and larcenies it records, but the department's Transit Bureau has attributed the recent rise in subway crime — up 17 percent compared with the same time last year — to the theft of electronic gadgetry.
Their data also showed that robberies and homicides went up, but the findings were not statistically significant.
In 2014, Ferguson had 115 instances of violent crime -- including murder, rape and robbery -- according to the most recent data available from the FBI.
"If James Holmes took someone's wallet after shooting all of those people, it'd technically be classified as a robbery, and [be] excluded from our data.
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