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Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos)

: Andrienko, G.; Andrienko, N.; Bak, P.; Kisilevich, S.; Keim, D.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Symposium on Visual Analytics Science and Technology, VAST 2009 : Co-located with the annual IEEE Visualization Conference (IEEE Vis) and the IEEE Information Visualization Conference (IEEE InfoVis), 11 - 16 October 2009, Atlantic City, New Jersey, USA
Piscataway/NJ: IEEE, 2009
ISBN: 1-4244-5284-8
ISBN: 978-1-4244-5284-2
ISBN: 978-1-4244-5283-5
Symposium on Visual Analytics Science and Technology (VAST) <2009, Atlantic City/NJ>
Visualization Conference (VIS) <2009, Atlantic City/NJ>
Information Visualization Conference (InfoVis) <2009, Atlantic City/NJ>
Conference Paper
Fraunhofer IAIS ()

Space- and time-referenced data published on the Web by general people can be viewed in a dual way: as independent spatiotemporal events and as trajectories of people in the geographical space. These two views suppose different approaches to the analysis, which can yield different kinds of valuable knowledge about places and about people. We define possible types of analysis tasks related to the two views of the data and present several analysis methods appropriate for these tasks. The methods are suited to large amounts of the data.