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Conceptualization of Place via Spatial Clustering and Co-occurrence Analysis a Institute of Information Science, Academia Sinica b International Institute for Geo–Information Science and Earth Observation (ITC) Dong–Po Deng ab ; Tyng–Ruey Chuang a ; Rob Lemmens b 2009 International Workshop on Location Based Social Networks (LBSN’09) Nov. 3, 2009, Seattle, WA, USA
Introduction ,[object Object]
 
Photos and Tags in Flickr Tags Geo-Tag Time-Tag
Where is the beef? ,[object Object],Is geospatial data created in a social network a valuable production in and for a geospatial society in general? How to extract the geospatial information from user-generated contents in a social network?
Selected photos from Flickr
Spatial Clustering method (DBSCAN)
Co-occurrence analysis Photo-tag matrix tag-tag correlation matrix
The correlation between the tag “amsterdam" and the tags of several landmarks associated to Amsterdam Distance Correlation coefficient
Conceptualizing places in different spatial scales
Conceptualizing places in different spatial scales
Conceptualizing places in different spatial scales
Conceptualizing places in different spatial scales
Conclusions and future works ,[object Object],[object Object],[object Object],[object Object]
Thank you for your attention! [email_address]

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2009 acm lbsn_presentation

Editor's Notes

  1. 2008/1/1 – 2008/12/31 3,965 photos containing 36,498 tags in total 7,564 unique tags.