2013
DOI: 10.3138/carto.48.2.1839
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Where Do Tourists Go? Visualizing and Analysing the Spatial Distribution of Geotagged Photography

Abstract: Visualizing the geographical positions of photographs taken by tourists is a promising method to measure tourist activity in urban spaces. Most photo-sharing sites on the Internet offer the possibility of ''geotagging'' photos, resulting in geographical information retrievable by databases using the application programming interface (API) of such sites. These data sets can be visualized on maps or digital globes, which make the correlations of the photo density and the geographical objects of a given area expr… Show more

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Cited by 75 publications
(51 citation statements)
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“…by Wahbeh and Nebiker (2016), also quantitatively assessed the quality of the resulting 3d reconstructions. The authors also investigated image acquisition patterns by tourists for typical heritage monuments following earlier investigations at urban scales by Kádár & Gede (2013). Wahbeh and Nebiker (2016) identified some typical problems with open domain tourist images and with subsequent 3d reconstructions.…”
Section: Related Workmentioning
confidence: 99%
“…by Wahbeh and Nebiker (2016), also quantitatively assessed the quality of the resulting 3d reconstructions. The authors also investigated image acquisition patterns by tourists for typical heritage monuments following earlier investigations at urban scales by Kádár & Gede (2013). Wahbeh and Nebiker (2016) identified some typical problems with open domain tourist images and with subsequent 3d reconstructions.…”
Section: Related Workmentioning
confidence: 99%
“…Due to the lack of home information in many Flickr users' profiles, several heuristic algorithms have been proposed to differentiate between local residents and tourists [14,34,40]. Because of its simplicity and intuitiveness, the heuristic rule employed in De Choudhury et al (2010) [34]and Kadar and Gede (2013) [40] is used. It assumes that while most tourists concentrate their visits within a short time period of several days, local residents of a city tend to take pictures of the city over a much longer period of time.…”
Section: Touristic Location Detectionmentioning
confidence: 99%
“…At a country level, Li and Yang (2017) studied Sina Weibo data to explore travel patterns during China's Golden Week in 2014 [38]. Other studies have focused on urban areas [14,26,34,39] and attractions.…”
Section: Analysis Of Tourist-generated Big Datamentioning
confidence: 99%
“…Some of the urban-scale research focuses on using Flickr's photo and text information [14,39]. As well as exploring the most popular tourist attractions, these studies compare travel patterns and behaviors of tourists from different origins [34].…”
Section: Analysis Of Tourist-generated Big Datamentioning
confidence: 99%