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This study uses innovative technology to analyse the spatiotemporal distribution of the visitors’ geotagged landscape photos of rural areas in the Web 2.0 era. The study extracts the spatiotemporal data from the landscape photo-sharing website, Google Panoramio, in South Korea and analyses the spatiotemporal density of 126,354 geotagged landscape photos from 2006 to 2012 based on geographic information analysis. This study also verifies that this novel approach to analysing the collections of geotagged landscape photos can be an effective tool for the spatiotemporal distributions of rural landscapes. Further research is needed to develop more detailed methodologies for analysis of the contents and layouts of geotagged landscapes photos.
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Bae et al. (2016) studied this question.
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