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

Gennady Andrienko, Natalia Andrienko, Peter Bak, Slava Kisilevich, Daniel Keim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

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 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.

Original languageEnglish
Title of host publicationVAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
Pages213-214
Number of pages2
DOIs
StatePublished - 1 Dec 2009
Externally publishedYes
EventVAST 09 - IEEE Symposium on Visual Analytics Science and Technology - Atlantic City, NJ, United States
Duration: 12 Oct 200913 Oct 2009

Publication series

NameVAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Conference

ConferenceVAST 09 - IEEE Symposium on Visual Analytics Science and Technology
Country/TerritoryUnited States
CityAtlantic City, NJ
Period12/10/0913/10/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems

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