
Migrant Boat Mini Challenge Award: Simple and Effective Integrated Display Geo-Temporal Analysis of Migrant Boats
Ranko Miklin, Tomislav Lipic, Zoltan Konyha, Mario Beric, Wolfgang Freiler, Kresimir Matkovic, Denis GracaninMigrant Boat Mini Challenge Award: Simple and Effective Integrated Display Geo-Temporal Analysis of Migrant Boats
In Proceedings of IEEE VAST 2008 Symposium. 2008.
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Information
- Publication Type: Other Reviewed Publication
- Date (from): 19. 10. 2008
- Date (to): 24. 10 . 2008
- Location: Columbus, Ohio
- Keywords: geo-temporal data, visual analytics
Abstract
We provide a description of the tools and techniques used in our analysis of the VAST 2008 Challenge dealing with mass movement of persons departing Isla Del Sue˜no on boats for the United States during 2005–2007. We used visual analytics to explore migration patterns, characterize the choice and evolution of landing sites, characterize the geographical patterns of interdictions and determine the successful landing rate. Our ComVis tool, in connection with some helper applications and Google Earth, allowed us to explore geo-temporal characteristics of the data set and answer the challenge questions. The ComVis project file captures the visual analysis context and facilitates better collaboration among team members.Additional Files and Images
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BibTeX
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@inproceedings{Miklin-2009-Mig,
title = "Migrant Boat Mini Challenge Award: Simple and Effective
Integrated Display Geo-Temporal Analysis of Migrant Boats",
author = "Ranko Miklin and Tomislav Lipic and Zoltan Konyha and Mario
Beric and Wolfgang Freiler and Kresimir Matkovic and Denis
Gracanin",
year = "2008",
abstract = "We provide a description of the tools and techniques used in
our analysis of the VAST 2008 Challenge dealing with mass
movement of persons departing Isla Del SueËœno on boats
for the United States during 2005–2007. We used
visual analytics to explore migration patterns, characterize
the choice and evolution of landing sites, characterize the
geographical patterns of interdictions and determine the
successful landing rate. Our ComVis tool, in connection with
some helper applications and Google Earth, allowed us to
explore geo-temporal characteristics of the data set and
answer the challenge questions. The ComVis project file
captures the visual analysis context and facilitates better
collaboration among team members.",
pages = "%pages_from%--%pages_to%",
booktitle = "Proceedings of IEEE VAST 2008 Symposium",
location = "Columbus, Ohio",
keywords = "geo-temporal data, visual analytics",
URL = "http://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/",
}