Abstract
Volunteered Geographic Information (VGI) provides valuable information to analyze human activities in space and time. In this chapter, we use Flickr photos as an example to explore the possibilities of VGI to analyze spatiotemporal patterns of tourists’ accommodation in Vienna, Austria as study site. Kernel density estimations and spatial scan statistics are used to explore the distribution of photos, while seasonality is considered additionally. The results show seasonal tendency of tourists for accommodation. It has been discovered that Flickr photos have, in general, the capability to improve tourism-related researches. In particular, they are useful to investigate spatiotemporal human activities, which open new possibilities for further location and event based analysis.
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Andrienko G, Andrienko N, Bak P, Kisilevich S, Keim D (2009) Analysis of community-contributed space- and time-referenced data (example of flickr and panoramio photos). In: IEEE Symposium on visual analytics science and technology (VAST 2009), pp 213–214
Berman M, Diggle PJ (1989) Estimating weighted integrals of the second-order intensity of a spatial point process. J Roy Stat Soc B 51:81–92
Chen L, Roy A, (2009) Event detection from flickr data through wavelet-based spatial analysis. In: Proceedings of the 18th ACM conference on information and knowledge management. ACM, Hong Kong, pp 523–532
Coenders G, Espinet J, Saez M (2001) Predicting random level and seasonality of hotel prices. A structural equation growth curve approach. Working Paper 2001/1, Department of Economics, University of Girona, Girona
Diggle P (1985) A kernel method for smoothing point process data. J Roy Stat Soc C 34:138–147
Dokmeci V, Balta N (1999) The evolution and distribution of hotels in Istanbul. Eur Planing Stud 7(1):99–110
Fernandez-Morales A, Mayorga-Toledano MC (2008) Seasonal concentration of the hotel demand in Costa del Sol: a decomposition by nationalities. Tourism Manage 29(5):940–949
Gatrell A, Bailey T, Diggle P, Rowlingson B (1996) Spatial point pattern analysis and its application in geographical epidemiology. Trans Inst Brit Geogr 21:256–274
Georgantzas NC (2003) Tourism dynamics: Cyprus’ hotel value chain and profitability. Syst Dyn Rev 19(3):175–212
Getis A, Boots B (1978) Models of spatial processes. Cambridge University Press, Cambridge
Getz D, Nilsson PA (2004) Responses of family businesses to extreme seasonality in demand: the case of Bornholm. Den Tourism Manage 25(1):17–30
Girardin F, Dal Fiore F, Ratti C, Blat J (2007) Leveraging explicitly disclosed location information to understand tourist dynamics: a case study. J Location Based Serv 2(1):41–56
Goodchild M (2007a) Citizens as voluntary sensors: spatial data infrastructure in the world of Web 2.0. Int J Spat Data Infrastruct Res 2:24–32
Goodchild M (2007b) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221
Grainger J, Judge G (1996) Changing patterns of seasonality in hotel and tourism demand: an analysis of Portsmouth monthly arrivals data. Discussion Paper Number 73, Department of Economics, University of Portsmouth, Portsmouth
Grothe C, Schaab J (2009) Automated footprint generation from Geotags with kernel density estimation and support vector machines. Spat Cogn Comput 9(3):195–211
Helbich M, Leitner M (2010) Postsuburban spatial evolution of the Viennese Urban Fringe: evidence from point process modeling. Urban Geogr 31(8):1100–1117
Helbich M, Leitner M (2012) Evaluation of spatial cluster detection algorithms for crime locations. In: Gaul W, Geyer-Schulz A, Schmidt-Thieme L, Kunze J (eds.) Challenges at the interface of data analysis, computer science, and optimization. Studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 193–201 (doi:10.1007/978-3-642-24466-7_20)
Helbich M (2012) Beyond Postsuburbia? Multifunctional service agglomeration in Vienna’s Urban Fringe. J Econ Soc Geogr 103(1):39–52. doi:10.1111/j.1467-9663.2011.00673.x
Jeffrey D, Barden R (1999) An analysis of the nature, causes and marketing implications of seasonality in the occupancy performance of English hotels. Tourism Econ 5(1):69–91
Jia YT, Garland M, Hart J (2011) Social network clustering and visualization using hierarchical edge bundles. ComputGraph Forum 30(8):2314–2327
Julio G, Jussi K, Paul C (2007) iCLEF 2006 Overview: searching the Flickr WWW photo-sharing repository. In: Evaluation of multilingual and multi-modal information retrieval, 7th workshop of the cross-language evaluation forum (CLEF 2006), Alicante
Kisilevich S, Krstajić M, Keim D, Andrienko N, Andrienko G (2010) Event-based analysis of people’s activities and behavior using Flickr and Panoramio geotagged photo collections. In: Proceedings of 14th international conference on information visualization, London, pp 289–296
Koenig N, Bischoff E (2004a) Tourism demand patterns in turbulent times: analyzing welsh accommodation occupancy data for 1998–2001. Int J Tourism Res 6(4):205–220
Koenig N, Bischoff E (2004b) Analyzing seasonality in Welsh room occupancy data. Ann Tourism Res 31(2):374–392
Koenig N, Bischoff E (2005) Seasonality research: the state of the art. Int J Tourism Res 7:201–219
Kulldorff M (1997) A spatial scan statistic. Commun Stat Theory Methods 26:1481–1496
Lee R, Wakamiya S, Sumiya K (2011) Discovery of unusual regional social activities using geotagged microblogs. World Wide Web-Internet Web Inf Syst 14(4):321–349
Lindgren S, Lundstrom R (2011) Pirate culture and hacktivist mobilization: The cultural and social protocols of #WikiLeaks on Twitter. New Media Soc 13(6):999–1018
O’Sullivan D, Unwin D (2003) Geographic information analysis. Wiley, Hoboken
Pearce D, Grimmeau J (1985) The spatial structure of tourist accommodation and Hotel Demand in Spain. Geoforum 16:37–50
Popescu A, Grefenstette G (2009) Deducing trip related information from flickr. In: Proceedings of the 18th international conference on World Wide Web. ACM, Madrid, pp 1183–1184
Rattenbury T, Good N, Maaman M (2007) Towards automatic extraction of event and place semantics from flickr tags. In: Proceedings of the 30th annual international conference on research and development in information retrieval. Amsterdam, The Netherlands, pp 103–110
Rowlingson B, Diggle P (1993) SPLANCS: spatial point pattern analysis code in S-plus. Comput Geosci 19(5):627–655
Scharl A, Tochtermann K (eds) (2007) The geospatial web: how geobrowsers, social software and the Web 2.0 are shaping the network society. Springer, London
Sharma A, Sneed J, Ravichandran S (2007) Spatial analysis of small hotel activity in Tanzania. Int J Contemp Hospitality Manage 19(7):589–599
Shoval N, Cohen-Hattab K (2001) Urban hotel development patterns in the face of political shifts. Ann Tourism Res 22:908–925
Smith JB (1994) Collective intelligence in computer-based collaboration. Lawrence Erlbaum Associates, Hillsdale
Sørensen N (1999) Modelling the seasonality of hotel nights in Denmark by county and nationality. Tourism Econ 5(1):9–23
Tahayna B, Belkhatir M, Alhashmi SM, O’Daniel T (2011) Evolutionary optimization of video event classification. Int J Comput Math 88(18):3784–3802
Thom D, Bosch H, Koch S, Worner M, Ertl T (2012) Spatiotemporal anomaly detection through visual analysis of geolocated twitter messages. In: 2012 IEEE Pacific visualization symposium (Pacific Vis), pp 41–48
Turner A (2006) Introduction to neogeography. O’Reilly Media, Sebastopol
Wall G, Dudycha D, Hutchinson J (1985) Point pattern analysis of accommodation in Toronto. Ann Tourism Res 12(4):603–618
Wiersma YF (2010) Birding 2.0: Citizen science and effective monitoring in the Web 2.0 World. Avian Conserv Ecol 5(2):13
Yin Z, Cao L, Han J, Luo J, Huang T (2011) Diversified trajectory pattern ranking in geotagged social media.In: Proceedings of the 11th SIAM international conference on data mining (SDM 2011), Mesa, pp 980–991
Zwol R (2007) Flickr: Who is looking? In: Proceedings of the IEEE/WIC/ACM international conference on web intelligence, IEEE computer society, pp 184–190
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Sun, Y., Fan, H., Helbich, M., Zipf, A. (2013). Analyzing Human Activities Through Volunteered Geographic Information: Using Flickr to Analyze Spatial and Temporal Pattern of Tourist Accommodation. In: Krisp, J. (eds) Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34203-5_4
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