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Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS

Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS

José Gomes dos Santos, Liliana Raquel Simões Azevedo, Luís Carlos Roseiro Leitão
Copyright: © 2021 |Pages: 28
ISBN13: 9781799822493|ISBN10: 1799822494|EISBN13: 9781799822516
DOI: 10.4018/978-1-7998-2249-3.ch006
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MLA

dos Santos, José Gomes, et al. "Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS." Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, et al., IGI Global, 2021, pp. 159-186. https://doi.org/10.4018/978-1-7998-2249-3.ch006

APA

dos Santos, J. G., Azevedo, L. R., & Leitão, L. C. (2021). Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS. In J. Tenedório, R. Estanqueiro, & C. Henriques (Eds.), Methods and Applications of Geospatial Technology in Sustainable Urbanism (pp. 159-186). IGI Global. https://doi.org/10.4018/978-1-7998-2249-3.ch006

Chicago

dos Santos, José Gomes, Liliana Raquel Simões Azevedo, and Luís Carlos Roseiro Leitão. "Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS." In Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, Rossana Estanqueiro, and Cristina Delgado Henriques, 159-186. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2249-3.ch006

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Abstract

Spatial modeling always involves choices. The existence of constraints, the uncertainty and even the reliability of the data, the purposes and the applications of the studies make these reflections a kind of guiding compass for GIS analysts. Building on a previous exercise of data acquisition (check-ins) based on two digital social networks (DSN – Facebook and Foursquare) and on the awareness of the use of volunteered geographic information (VGI) generated by tourists through DSN, this work aims to evaluate the contribution of spatial analysis applied to urban tourism in the “Alta and University of Coimbra” area. Concepts and procedural tasks related to density determination, cluster analysis, and identification of patterns have thus been implemented with the purpose of evaluating and comparing the results obtained through the application of two techniques of spatial analysis, kernel density estimation (KDE) and optimized hot spot analysis (OHSA) and inverse distance weighting (IDW) interpolation.

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