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The advent of modern smart phones and handheld devices has given analysts, decision-makers, and even the general public the ability to rapidly ingest data and translate it into actionable information on-the-go. In this paper, we explore the design and use of a mobile visual analytics toolkit for public safety data that equips law enforcement agencies with effective situation awareness and risk assessment tools. Our system provides users with a suite of interactive tools that allow them to perform analysis and detect trends, patterns and anomalies among criminal, traffic and civil (CTC) incidents. The system also provides interactive risk assessment tools that allow users to identify regions of potential high risk and determine the risk at any user-specified location and time. Our system has been designed for the iPhone/iPad environment and is currently being used and evaluated by a consortium of law enforcement agencies. We report their use of the system and some initial feedback.
Mobile communication, Data visualization, Law enforcement, Visual analytics, Safety, Calendars, Market research,ApplicationsMobile Visual Analytics, Mobile visual analytics, situation awareness, public safety, Methodology and TechniquesInteraction techniques
Ahmad M. M. Razip, Abish Malik, Shehzad Afzal, Matthew Potrawski, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert, "A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness", Visualization Symposium, IEEE Pacific, vol. 00, no. , pp. 169-176, 2014, doi:10.1109/PacificVis.2014.54
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