A mobile visual analytics approach for law enforcement situation awareness

Ahmad M M Razip, Abish Malik, Shehzad Afzal, Matthew Potrawski, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Pacific Visualization Symposium, PacificVis 2014
PublisherIEEE Computer Society
Number of pages8
ISBN (Print)9781479928736
StatePublished - 2014
Event2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014 - Yokohama, Kanagawa, Japan
Duration: Mar 4 2014Mar 7 2014

Publication series

NameIEEE Pacific Visualization Symposium
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773


Other2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014
CityYokohama, Kanagawa


  • Applications-Mobile Visual Analytics
  • Methodology and Techniques-Interaction techniques
  • Mobile visual analytics
  • public safety
  • situation awareness

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software


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