| Abstract |
In our previous research, we proposed a security information service, called PRISM, which personalizes the incident information based on living area of individual users. PRISM computes the severity of a given incidents based on distance, time, and type. It then visualizes the incident with the severity on a heat map. In this paper, we extend the functionality of PRISM, in order to analyze street crimes around living area in more details. More specifically, we add three new features to PRISM: showing a past heat map, showing a heat map focused on specified type of incidents, and showing statistics of incidents for every type. Using the extended features, we visualize the dynamic transition of street crimes in a specific area and the whole region. The visualization also reveals the ecology of wild boars. Finally, we also show that PRISM can be used to compare different districts by statistics of street crimes. |
