TY - GEN
T1 - Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos)
AU - Andrienko, Gennady
AU - Andrienko, Natalia
AU - Bak, Peter
AU - Kisilevich, Slava
AU - Keim, Daniel
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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 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.
AB - 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 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.
UR - http://www.scopus.com/inward/record.url?scp=72849122271&partnerID=8YFLogxK
U2 - 10.1109/VAST.2009.5333472
DO - 10.1109/VAST.2009.5333472
M3 - Conference contribution
AN - SCOPUS:72849122271
SN - 9781424452835
T3 - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
SP - 213
EP - 214
BT - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
T2 - VAST 09 - IEEE Symposium on Visual Analytics Science and Technology
Y2 - 12 October 2009 through 13 October 2009
ER -