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