I'm wondering if crime is controlled more easily or less easily when race is factored into the solution?
Furthermore, what are the factors?
I would think you could use a map of St. Louis city - think SafeCity Incident Mapping - and track various crimes over a given period. You could then use the same map and same time period to track various other factors to discern statistical correlations. Income, # of people in a household, pet owners, own vs. rent, race, other types of crime; basically, any demographical data. I can't imagine crime prevention is so unique that one couldn't than take the data set I've suggested and compare it against data from other cities to derive proven techniques of eliminating certain types of crime.
I truly wonder if our Police use any statical data to control crime? Giuliani and the NYPD used this type of data driven, statiscal approach to crime prevention with great success.
Would anyone have any suggested reading on this topic?
Furthermore, what are the factors?
I would think you could use a map of St. Louis city - think SafeCity Incident Mapping - and track various crimes over a given period. You could then use the same map and same time period to track various other factors to discern statistical correlations. Income, # of people in a household, pet owners, own vs. rent, race, other types of crime; basically, any demographical data. I can't imagine crime prevention is so unique that one couldn't than take the data set I've suggested and compare it against data from other cities to derive proven techniques of eliminating certain types of crime.
I truly wonder if our Police use any statical data to control crime? Giuliani and the NYPD used this type of data driven, statiscal approach to crime prevention with great success.
Would anyone have any suggested reading on this topic?



