Density analysis of Flickr data as a proxy to reveal the intensity of tourism activity in Borobudur

Totok W. Wibowo; Achmad Rofi'i; Nur A. Sulistyaningrum

doi:10.1117/12.2549040

21 November 2019 Density analysis of Flickr data as a proxy to reveal the intensity of tourism activity in Borobudur

Totok W. Wibowo, Achmad Rofi'i, Nur A. Sulistyaningrum

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Proceedings Volume 11311, Sixth Geoinformation Science Symposium; 113110F (2019) https://doi.org/10.1117/12.2549040
Event: Sixth Geoinformation Science Symposium, 2019, Yogyakarta, Indonesia

Abstract

Indonesia has many cultural heritages that attracts not only local tourist but also a foreigner. The most renowned site for cultural tourism is Borobudur, that attracts many tourists. It also included as one of the seven cultural wonders in the world. Tourism activity cannot be separated from photography since the visitors would want to have memories of the locations. Involuntary Geographic Information (iVGI) is one of the new sources of information that can be used to analyze the pattern of human activities spatially. This research explores Flickr data as an example of using photo-based iVGI data for hotspot analysis of human activities in cultural tourism objects. Each photo in Flickr’s database located in Borobudur can be assumed as an activity log since Flickr allowed the user to add geotagged photos. Though a data cleaning process must be done to filter irrelevant data. Point Density was employed in this study to explore photo distribution in the study area. Data density will act as an indicator that an area is more frequently visited by visitors. Besides, Zonation of Borobudur Region data was used to compare the density and the zone designated by the official document. The results of the study show that the peak of photography activity occurs at 6 am and area arround the Stupa has attracted visitor in undertaking photo shoot activity.

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Totok W. Wibowo, Achmad Rofi'i, and Nur A. Sulistyaningrum "Density analysis of Flickr data as a proxy to reveal the intensity of tourism activity in Borobudur", Proc. SPIE 11311, Sixth Geoinformation Science Symposium, 113110F (21 November 2019); https://doi.org/10.1117/12.2549040

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