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Analysis of community-contributed space- and time-referenced data

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

:

Association for Computing Machinery -ACM-:
17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2009. Proceedings : Seattle, Washington, November 4-6, 2009
New York: ACM, 2009
ISBN: 978-1-60558-649-6
S.540-541
International Conference on Advances in Geographic Information Systems (GIS) <17, 2009, Seattle/Wash.>
Englisch
Konferenzbeitrag
Fraunhofer IAIS ()

Abstract
Space- and time-referenced data published on the Web by general people can be viewed in a dual way: as independent spatio-temporal 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 present several analysis methods corresponding to these two views. The methods are suited to the large amounts of the data.

: http://publica.fraunhofer.de/dokumente/N-125184.html