Towards (Re)Constructing Narratives from Georeferenced Photographs through Visual Analytics

NOTES

REFERENCES

• Agnew J. (2005). ‘Space: place’, in Spaces of Geographical Thought: Deconstructing Human Geography’s Binaries, pp. 81–96, Sage Publications, Thousand Oaks, CA.
   Google Scholar
• Andrienko G, Andrienko N, Bak P, Keim D, Kisilevich S and Wrobel S. (2011). ‘A conceptual framework and taxonomy of techniques for analyzing movement’, Journal of Visual Languages & Computing, 22, pp. 213–232.
   Web of Science ®Google Scholar
• Andrienko G, Andrienko N, Bak P, Kisilevich S and Keim D. (2009). ‘Analysis of Community-Contributed Space- And Time-Referenced Data (Example of Flickr and Panoramio Photos)’, in 2009 IEEE Symposium on Visual Analytics Science and Technology, pp. 213–214, Atlantic City, NJ, Oct 11–16.
   Google Scholar
• Andrienko G, Andrienko N, Mladenov M, Mock M and Politz C. (2010). ‘Discovering Bits of Place Histories from People’s Activity Traces’, in 2010 IEEE Symposium on Visual Analytics Science and Technology, pp. 59–66, Salt Lake City, UT, Oct 24–29.
   Google Scholar
• Andrienko N, Andrienko G, Stange H, Liebig T and Hecker D. (2012). ‘Visual analytics for understanding spatial situations from episodic movement data’, KI - Künstliche Intelligenz, 26, pp. 241–251.
   Google Scholar
• Bal M. (2009). Narratology. Introduction to the Theory of Narrative, 3rd ed., p. 256, University of Toronto Press, Toronto.
   Google Scholar
• Boyd D and Crawford K. (2011). ‘Six provocations for big data’, in A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society, OxfordUniversity of Oxford, Oxford.
   Google Scholar
• Bruns A. (2007). ‘Produsage’, in Proceedings of the 6th ACM SIGCHI Conference on Creativity & Cognition – C&C ’07, p. 99, ACM Press, New York.
   Google Scholar
• Caquard S. (2011). ‘Cartography I: mapping narrative cartography’, Progress in Human Geography, 37, pp. 135–144.
   Web of Science ®Google Scholar
• Crampton JW, Graham M, Poorthuis A, Shelton T, Stephens M, Wilson MW and Zook M. (2013). ‘Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb’, Cartography and Geographic Information Science, 40, pp. 130–139.
   Web of Science ®Google Scholar
• de Certeau, Michel. (1984). ‘Part III: Spatial Practices’, in The Practice of Everyday Life, Berkeley, CA: University of California Press, pp. 91–130.
   Google Scholar
• da Rugna J, Chareyron G and Branchet B. (2012). ‘Tourist Behavior Analysis through Geotagged Photographies: A Method to Identify the Country of Origin’, in 2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 347–351, Budapest, Nov 20–22.
   Google Scholar
• Doan S, Ohno-Machado L and Collier N. (2012). ‘Enhancing Twitter Data Analysis with Simple Semantic Filtering: Example in Tracking Influenza-Like Illnesses’, in 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology, pp. 62–71, La Jolla, CA, Sep 27–28.
   Google Scholar
• Dodge M and Kitchin R. (2013). ‘Crowdsourced cartography: mapping experience and knowledge’, Environment and Planning A, 45, pp. 19–36.
   Web of Science ®Google Scholar
• Draijer G, Kalfs N and Perdok J. (2000). ‘Global positioning system as data collection method for travel research’, Transportation Research Record, 1719, pp. 147–153.
   Google Scholar
• Edwards D, Dickson T, Griffin T and Hayllar B. (2010). ‘Tracking the urban visitor: methods for examining tourists’ spatial behavior and visual representations’, in Cultural Tourism Research Methods, ed. by Richards G and Munsters W, p. 228, CAB International, Oxfordshire.
   Google Scholar
• Ferrari L, Rosi A, Mamei M and Zambonelli F. (2011). ‘Extracting urban patterns from location-based social networks’, in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks – LBSN ’11, p. 1, ACM Press, New York.
   Google Scholar
• Field K. (2013). 3 billion tweets on a map. Cartonerd (Blog). http://cartonerd.blogspot.ch/2013/06/3-billion-tweets-on-map.html
   Google Scholar
• Fischer E. (2010). Locals and Tourists. Flickr. http://www.flickr.com/photos/walkingsf/sets/721576242091 58632
   Google Scholar
• Freeman LC. (1977). ‘A set of measures of centrality based on betweenness’, Sociometry, 40, pp. 35–41. http://www.jstor.org/stable/3033543
   Google Scholar
• Gavric KD, Culibrk DR, Lugonja PI, Mirkovic MR and Crnojevic VS. (2011). ‘Detecting attractive locations and tourists’ dynamics using geo-referenced images’, in 2011 10th International Conference on Telecommunication in Modern Satellite Cable and Broadcasting Services (TELSIKS), pp. 208–211, Belgrade, Oct 5–8.
   Google Scholar
• Girardin F, Calabrese F, Fiore FD, Ratti C and Blat J. (2008a). ‘Digital footprinting: uncovering tourists with user-generated content’, IEEE Pervasive Computing, 7, pp. 36–43.
   Web of Science ®Google Scholar
• Girardin F, Fiore FD, Ratti C and Blat J. (2008b). ‘Leveraging explicitly disclosed location information to understand tourist dynamics: a case study’, Journal of Location Based Services, 2, pp. 41–56.
   Google Scholar
• Girardin F, Vaccari A, Gerber A, Biderman A and Ratti C. (2009). ‘Quantifying urban attractiveness from the distribution and density of digital footprints’, International Journal of Spatial Data Infrastructures Research, 4, pp. 175–200.
   Google Scholar
• Girardin F, Dal Fiore F, Blat J and Ratti C. (2007). ‘Understanding of Tourist Dynamics from Explicitly Disclosed Location Information’, in 4th International Symposium on LBS and Telecartography, Hong Kong, Nov 8–10.
   Google Scholar
• Goodchild MF. (2007). ‘Citizens as sensors: the world of volunteered geography’, GeoJournal, 69, pp. 211–221.
   Google Scholar
• Goodchild MF. (2008). ‘Assertion and Authority: The Science of User-Generated Geographic Content’, in Proceedings of the Colloquium for Andrew U. Frank’s 60th Birthday. http://www.geog.ucsb.edu/∼good/papers/454.pdf
   Google Scholar
• Goodchild MF and Glennon JA. (2010). ‘Crowdsourcing geographic information for disaster response: a research frontier’, International Journal of Digital Earth, 3, pp. 231–241.
   Web of Science ®Google Scholar
• Haklay M. (2010). ‘Human–computer interaction and geospatial technologies – context’, In Interacting with Geospatial Technologies, ed. by Haklay M M, John Wiley & Sons, Ltd, Chichester, UK.
   Google Scholar
• Hollenstein L and Purves R. (2010). ‘Exploring place through user-generated content: Using Flickr to describe city cores’, Journal of Spatial Information Science, (1), pp. 21–28.
   Google Scholar
• Jaffe A, Naaman M, Tassa T and Davis M. (2006). ‘Generating summaries and visualization for large collections of geo-referenced photographs’, in Proceedings of the 8th ACM international workshop on Multimedia information retrieval - MIR ’06, p. 89, ACM Press, New York.
   Google Scholar
• Jankowski P, Andrienko N, Andrienko G and Kisilevich S. (2010). ‘Discovering landmark preferences and movement patterns from photo postings’, Transactions in GIS, 14, pp. 833–852.
   Web of Science ®Google Scholar
• Joh C, Arentze T, Hofman F and Timmermans H. (2002). ‘Activity pattern similarity: a multidimensional sequence alignment method’, Transportation Research Part B: Methodological, 36, pp. 385–403.
   Web of Science ®Google Scholar
• Jones CB, Purves RS, Clough PD and Joho H. (2008). ‘Modelling vague places with knowledge from the Web’, International Journal of Geographical Information Science, 22, pp. 1045–1065.
   Web of Science ®Google Scholar
• Kaufman L and Rousseeuw PJ. (1990). Finding Groups in Data: An Introduction to Cluster Analysis, Wiley, New York.
   Google Scholar
• Kisilevich S, Krstajic M, Keim D, Andrienko N and Andrienko G. (2010). ‘Event-Based Analysis of People’s Activities and Behavior Using Flickr and Panoramio Geotagged Photo Collections’, in 2010 14th International Conference Information Visualisation, pp. 289–296, London, Jul 26–29.
   Google Scholar
• Kwan M.-P and Ding G. (2008). ‘Geo-narrative: extending geographic information systems for narrative analysis in qualitative and mixed-method research’, The Professional Geographer, 60, pp. 443–465.
   Web of Science ®Google Scholar
• Li L and Goodchild MF. (2010). ‘The role of social networks in emergency management’, International Journal of Information Systems for Crisis Response and Management, 2, pp. 48–58.
   Google Scholar
• MacEachren AM, Robinson AC, Jaiswal A, Pezanowski S, Savelyev A, Blanford J and Mitra P. (2011). ‘Geo-Twitter Analytics: Applications in Crisis Management’, in 25th International Cartographic Conference, Paris, Jul 3–8.
   Google Scholar
• Maechler M, Rousseeuw PJ, Struyf A, Hubert M and Hornik K. (2013). R package ‘cluster’, http://cran.r-project.org/web/packages/cluster/cluster.pdf
   Google Scholar
• MapBox. (2013). MapBox – Fast and Beautiful Maps. MapBox. https://www.mapbox.com/
   Google Scholar
• Naaman M. (2011). ‘Geographic information from georeferenced social media data’, SIGSPATIAL Special, 3, pp. 54–61.
   Google Scholar
• Newman MEJ. (2006). ‘Modularity and community structure in networks’, Proceedings of the National Academy of Sciences of the United States of America, 103, pp. 8577–8582.
   PubMed Web of Science ®Google Scholar
• Pearce MW. (2008). ‘Framing the days: place and narrative in cartography Margaret Wickens Pearce’, Cartography and Geographic Information Science, 35, pp. 17–32.
   Google Scholar
• Popescu A and Grefenstette G. (2009). ‘Deducing trip related information from flickr’, in Proceedings of the 18th International Conference on World Wide Web – WWW ’09, p. 1183, ACM Press, New York.
   Google Scholar
• Ricker BA, Johnson PA and Sieber RE. (2012). ‘Tourism and environmental change in Barbados: gathering citizen perspectives with volunteered geographic information (VGI)’, Journal of Sustainable Tourism, 21, pp. 212–228.
   Web of Science ®Google Scholar
• Ruhnau B. (2000). ‘Eigenvector-centrality – a node-centrality?’, Social Networks, 22, pp. 357–365.
   Web of Science ®Google Scholar
• Ryan M. (2003). ‘Narrative cartography: toward a visual narratology’, in What Is Narratology?: Questions and Answers Regarding the Status of a Theory, ed. by Kindt T and Muller H-H, p. 332, Walter de Gruyter GmbH & Co., Berlin. http://books.google.com/books?hl = en&lr = &id = Jcp0JQa-u9oC&oi = fnd&pg = PA333&dq = Narrative+Cartography+:+Toward+a+Visual+Narratology&ots = L7wYzarTeZ&sig = JfJuU0t5G0HVWeEmJV42BqNFEnk
   Google Scholar
• Segel E and Heer J. (2010). ‘Narrative visualization: telling stories with data’, IEEE Transactions on Visualization and Computer Graphics, 16, pp. 1139–1148.
   PubMed Web of Science ®Google Scholar
• Soja EW. (2003). Post Modern Geographies – The Reassertion of Space in Critical Social Theory, 8th ed., p. 266, Verso, New York.
   Google Scholar
• Stopher P, Clifford E, Zhang J and FitzGerald C. (2008). Deducing Mode and Purpose from GPS Data, Institute of Transport and Logistics Studies, Sydney.
   Google Scholar
• Sui D, & Goodchild M. (2011). ‘The convergence of GIS and social media: challenges for GIScience’, International Journal of Geographical Information Science, 25, pp. 1737–1748.
   Web of Science ®Google Scholar
• Tussyadiah IP and Zach FJ. (2012). ‘The role of geo-based technology in place experiences’, Annals of Tourism Research, 39, pp. 780–800.
   Web of Science ®Google Scholar
• van Canneyt S, Schockaert S, Van Laere O and Dhoedt B. (2011). ‘Time-dependent recommendation of tourist attractions using Flickr’, in Proceedings of BNAIC 2011: Belgian/Netherlands Artificial Intelligence Conference, ed. by de Causmaecker P, Maervoet J, Messelis T, Verbeeck K and Vermeulen T. https://biblio.ugent.be/publication/2029365
   Google Scholar
• Vrotsou K, Andrienko N, Andrienko G and Jankowski P. (2011). ‘Exploring city structure from georeferenced photos using graph centrality measures’, in Machine Learning and Knowledge Discovery in Databases, ed. by Gunopulos D, Hofmann T, Malerba D and Vazirgiannis M, Vol. 6913, pp. 654–657, Springer, Berlin/Heidelberg.
   Google Scholar
• Walker J. (2004). Distributed Narrative: Telling Stories Accross Networks, Association of Internet Researchers, Brighton.
   Google Scholar
• Warf B and Arias S. (2009). ‘Introduction: the reinsertion of space into the social sciences and humanities’, in The Spatial Turn: Interdisciplinary Perspective, ed. by Warf B and Arias S, pp. 1–10, Routledge, Abingdon.
   Google Scholar
• White H. (2010). The Fiction of Narrative. Essays on History, Literature, and Theory, p. 424, John Hopkins University Press, Baltimore, MD.
   Google Scholar
• Wood SA, Guerry AD, Silver JM and Lacayo M. (2013). ‘Using social media to quantify nature-based tourism and recreation’, Scientific Reports, 3, p. 2976.
   PubMed Web of Science ®Google Scholar
• Zeng Z, Zhang R, Liu X, Guo X and Sun H. (2012). ‘Geo-photos, generating tourism path from trajectories and geo-photos’, in Web Information Systems Engineering – WISE 2012, ed. by Wang X S, Cruz I, Delis A and Huang G, pp. 199–212, Springer, Berlin/Heidelberg.
   Google Scholar
• Zook M, Graham M, Shelton T and Gorman S. (2010). ‘Volunteered geographic information and crowdsourcing disaster relief: a case study of the haitian earthquake’, World Medical & Health Policy, 2, pp. 6–32.
   Google Scholar
• Bradley ES and Clarke KC (2010). Outdoor Webcams as Geospatial Sensor Networks: Challenges, Issues and Opportunities. Cartography and Geographic Information Science, 38, (1), 3–19.
   Google Scholar
• Çöltekin A, eichenbacher T (2010High Quality Geographic Services and Bandwidth Limitations. Future Internet, 3, (4), 379–396.
   Google Scholar