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Managed by HCIL, University of Maryland
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:
Click Here
Solution:
Click Here
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

Total uses: 32
Used by:
Central South University
Hong Kong University of Science and Technology
ITBA - Castiglione
ITBA - Hirschowitz
Iowa State University
KULEUVEN
Award: Combination of analysis and visualizaton to solve the challenge
Knowledge Based Systems Inc
Middlebury College
Award: Integrated analysis environment
National ICT Australia
New York University
Otto von Guericke University Magdeburg
Peking University
Award: Honorable Mention: Dynamism of the system - support for flexible and collaborative analysis
Purdue University - Wei
Purdue University - Zhao
SAS Institute
Singapore Management University
TU-Darmstadt
Tianjin University
UBA - Arigos
UBA - Barretto
UBA - Bayle
UBA - Ianina
UBA - Igarteburu
Universidad Nacional del Oeste
University College London
Award: Honorable Mention: Outstanding video
University of Konstanz - Cakmak
Award: Content-rich visualization
University of Konstanz - Streeb
University of Maryland
University of North Carolina at Charlotte
VIS and VADER Lab
VRVis Research Center
Virginia Tech

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