Visual Analytics Law Enforcement Toolkit (VALET)
Principal Investigator: David Ebert
The Visual Analytics Law Enforcement Toolkit (VALET) integrates large volumes of criminal, traffic and civil incident data into a single, interactive user interface. VALET helps law enforcement decision makers, analysts, and officers identify crime trends and patterns, discover crime anomalies, and perform predictive crime analytics to assist in allocating law enforcement resources.
Developed by the Center for Visualization and Data Analytics, a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, VALET provides users with a visual display of multiple integrated crime datasets and a variety of crime analysis capabilities.
Benefits of Using VALET
Students: Guizhen Wang
Malik, A., Maciejewski, R., Elmqvist, N., Jang, Y., Ebert, D. S., & Huang, W. (2012, October). A correlative analysis process in a visual analytics environment. In 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), (pp. 33-42). IEEE.
Malik, A., Maciejewski, R., Towers, S., McCullough, S., & Ebert, D. S. (2014). Proactive spatiotemporal resource allocation and predictive visual analytics for community policing and law enforcement. IEEE transactions on visualization and computer graphics, 20(12), 1863-1872.
Razip, A. M., Malik, A., Afzal, S., Potrawski, M., Maciejewski, R., Jang, Y., ... & Ebert, D. S. (2014, March). A mobile visual analytics approach for law enforcement situation awareness. In 2014 IEEE Pacific Visualization Symposium (pp. 169-176). IEEE.