Visual Analytics Benchmark Repository
Initial support from the SEMVAST Project, HCIL, University of Maryland and The UMass System
Managed by John Fallon and Georges Grinstein at UMass Amherst
Managed by John Fallon and Georges Grinstein at UMass Amherst
Benchmark Details
Provenance: VAST Challenge 2015
Title: Mini-Challenge 1
Description:
You have access to movement tracking information for all of the paying park visitors over the three days of the Scott Jones celebration. This data contains many patterns that are useful for planning park operations. On this particular weekend a crime occurred and the data likely contains information pertinent to that crime.
Use visual analytics to analyze the available data and develop responses to the questions below. In addition, prepare a video that shows how you used visual analytics to solve this challenge. We encourage novel visual representations and analytic approaches!
Dataset available at:
Solution:
Contacts:
Kris Cook, Pacific Northwest National Laboratory
Georges Grinstein, University of Massachusetts-Lowell
Mark Whiting, Pacific Northwest National Laboratory
Kristen Liggett, Air Force Research Laboratory
Diane Staheli, MIT Lincoln Laboratory
Jordan Crouser, Smith College
John Fallon, University of Massachusetts Lowell
Georges Grinstein, University of Massachusetts-Lowell
Mark Whiting, Pacific Northwest National Laboratory
Kristen Liggett, Air Force Research Laboratory
Diane Staheli, MIT Lincoln Laboratory
Jordan Crouser, Smith College
John Fallon, University of Massachusetts Lowell
Total uses: 32
Used by:
Award: Combination of analysis and visualizaton to solve the challenge
Award: Integrated analysis environment
Award: Honorable Mention: Dynamism of the system - support for flexible and collaborative analysis
Award: Honorable Mention: Outstanding video
Award: Content-rich visualization