Decision Support System In Police Department

It is clear that the Police require software that assists them in:

•  Targeting resources for prevention more efficiently,
• Providing an empirical foundation for inter-agency burglary reduction initiatives,
• Identifying important data to be collected at an event, leading to efficiency gains in personal time; and,
• Providing information on designing systems which incorporate hard(forensic) and soft (crime scene information) data, and police intelligence information.

Burglary Data "GIS" plot. Data has been selected and loaded. The map is of the complete The Operational Command Unit (OCU). The Plot and Filter form (docked) shows the main plotting functions and a rubber band. Area has been selected for investigation. The plotted squares either indicate single victimizations or repeat victimizations, as shown in the legend.

• According to Figure 11, "Offender Features" have been already mentioned as they were involved in the other police crime experiments.They also included a kernel estimate, and were the most computationally intense feature to calculate.

• "Property Crime History" was simply the number of previous crime suffered by this premises. "Significant Property Stolen at the First Time" (45 categories) had been explored by the Police before our analysis, using a frequency count with "AUDIO/ RADIO" and JEWELRY being demonstrated to be the most significant variables.

• The results of the Bayesian network (for instance calibration) are not presented, indeed this approach has never been validated. This is because it contained many arbitrary and was intended as a prototype "proof of principle" demonstration.
• Although consideration able thought was given to how this algorithm in incorporated into decision support software, for use by police officers.

Shelby Police Department's GIS allows officers to analyze crime patterns, assess crimes, and predict future incidents. A geographic visualization of crimes committed provides decision support.

• For the Shelby, North Carolina, Police Department, CompStat is not only accurately painting a picture of what is happening, it is also providing concrete information to act on and has helped reduce crime significantly. Map-based tools have helped the department see exactly where crimes have been reported and respond with effective deployment of staff. The result is a dramatic decrease in incidents reported.

• As  Conclusion, "The key to success when you're using any type of crime trend analysis or crime data analysis is to get that information in real time to the front-line troops," explains Ledford. "That's how we're evolving our process now". 

• Based on my understandings, the police  want to more efficiently get that front-line officer, who is getting ready to hit the street, real-time information. The police  looking to train field sergeants on using the software directly so they can go in and analyze a type of crime or series of crimes by day or week or month or whatever they want."

Credit to;

Giles Oatley

Centre for Adaptive Systems, University of Sunderland

Brian Ewart

Psychology Division, University of Sunderland

John Zeleznikow

School of Information Systems, Victoria University

Sources Retrieved From, 

http://www.esri.com/news/arcnews/summer08articles/intelligence-led.html