Predictive Analytics and Crime Mapping
Predictive analytics is a way that information is removed from available data sets so as to define patterns and calculate future results and trends. However, predictive analytics does not inform someone of the future happenings. The law enforcement system can adapt the use of Predictive Analytics to ease their work. Crime mapping, on the other hand, has been a vital component for crime analysis (Santos, 2009). Many crimes and incidents have an inherently geographical quality. Therefore, by comprehending the reason the crime or the incidence took place offers remarkable intelligence that adds up to the enhancement of responses to crime and incidents issues.
The use of predictive analytics and crime mapping can significantly impact the law enforcement system through making the law enforcer’s job easier (Santos, 2009). Predictive analytics may help the law enforcers in identifying areas that are at risk of suffering crime. Crime mapping on the other hand may assist the police in solving cases that have issues (Information on crime mapping, n.d.).
Both predictive analytics and crime mapping can greatly improve different programs such as Block Watch and Hotspot in the fight of crime. For instance, in identifying vulnerable individual predictive analytics can use advanced models to identify the type of crime through advanced hot spot identification models known as risk terrain analysis (Rossmo, 2012). Predictive analytics may also enhance Compstat as the law enforcers will now be able to analyze the crime and also crime map. The use of particular ways can be of boundless aid (Rossmo, 2012). For instance, the applications can assist in the reduction of crimes and enhance more unrelenting intercessions. However, it is essential for the police to enrich their way of sharing information. Lack of communication may lead to lack of clear information which may result in the miscalculation of any future risk.
In conclusion, although predictive analytic and Crime mapping seems to be the way forward for policy, it poses a number of ethical issues. Such as if there is a way a person can be punished for the crime they are about to commit. Other issues include the authenticity of the information collected and if the individual ought to be proven guilty of the offense.
Santos, R. (2009). Crime analysis with crime mapping (2nd ed.). Los Angeles: Sage.
Rossmo, D. (2012, March 28). Predictive Analytics: Using Real-Time Data to help transform
Public Safety. Retrieved March 30, 2015, from
Information on crime mapping. (n.d.). Retrieved March 30, 2015, from http://www.nij.gov/
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