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

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

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Geographic Information Systems archive
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems table of contents

Seattle, Washington

DEMONSTRATION SESSION: Demo session table of contents

Pages: 540-541

Year of Publication: 2009

ISBN:978-1-60558-649-6

Authors

Gennady Andrienko	University of Bonn and Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin Germany
Natalia Andrienko	University of Bonn and Fraunhofer Institute IAIS, Schloss Birlinghoven, Sankt Augustin Germany
Peter Bak	University of Konstanz, Konstanz, Germany
Slava Kisilevich	University of Konstanz, Konstanz, Germany
Daniel Keim	University of Konstanz, Konstanz, Germany

Sponsor

SIGSPATIAL : ACM Special Interest Group on Spatial Information

Publisher

ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	David J. Crandall , Lars Backstrom , Daniel Huttenlocher , Jon Kleinberg, Mapping the world's photos, Proceedings of the 18th international conference on World wide web, April 20-24, 2009, Madrid, Spain [doi>10.1145/1526709.1526812]
	2	Fabien Girardin , Francesco Calabrese , Filippo Dal Fiore , Carlo Ratti , Josep Blat, Digital Footprinting: Uncovering Tourists with User-Generated Content, IEEE Pervasive Computing, v.7 n.4, p.36-43, October 2008 [doi>10.1109/MPRV.2008.71]