Abstract: Methods, systems, and computer storage media for generating a visual representation of crime-related information on a map are provided. The crime-related information is gathered from a variety of sources and evaluated to ensure there is no bias when generating metrics that describe individual events within the information. The evaluation involves normalization of a crime's location (e.g., longitude and latitude) and statistical analysis of a crime's severity (e.g., vandalism vs. car theft). Once the metrics are derived, they are employed to generate map that plots the individual events in a visually intuitive manner, such as heat map. In one instance, the map is used to route travelers to their destination optimizing for the safest route, while also considering timing of the trip. In another instance, the map is used to alert a user when s/he enters into an area with event(s) designated as having severe criminal events.

Abstract: Methods, systems, and computer storage media for generating a visual representation of crime-related information on a map are provided. The crime-related information is gathered from a variety of sources and evaluated to ensure there is no bias when generating metrics that describe individual events within the information. The evaluation involves normalization of a crime's location (e.g., longitude and latitude) and statistical analysis of a crime's severity (e.g., vandalism vs. car theft). Once the metrics are derived, they are employed to generate map that plots the individual events in a visually intuitive manner, such as heat map. In one instance, the map is used to route travelers to their destination optimizing for the safest route, while also considering timing of the trip. In another instance, the map is used to alert a user when s/he enters into an area with event(s) designated as having severe criminal events.