One hundred fifteen photographic tourism articles from online academic journals were identified using two database search resources - Science Direct (www.sciencedirect.com) and Google Scholar (https://scholar.google.co.th) - with the keywords “Photography + Tourism” during the spring of 2017. The papers were examined using content analysis and the data was entered into a custom-made Excel spreadsheet and coded into themes (Saldana, 2009). The category and context codes in Table 1 were generated by evaluating the published article title, the academic journal title and the content of the study as guide. The sample population or objects were extracted from each study. Photographic tourism literature reviews that did not state their sampling method were identified as using a purposive sampling method due to the images or data being selected in relation to its research objective. The sample size was initially collected; however, some studies not did use any samples, other articles did not specify the sample amount, and some research used several different samples sizes. Therefore, the sample size was not examined in this study. The photographic methods were separated from the accompanying research methods of the study. The data analyses and tests of each study were initially collated and coded with specific scientific technology such as “Real Time Kinematic DGPS” (Bryson, Duce, Harris, Webster, Thompson, Vila-Concejo, & Williams, 2016) and specific researchers' tests like “Yates's correction” (Balomenou, & Garrod, 2014) being clustered. Then the data analyses and tests codes were grouped by their use of a qualitative or quantitative approach, and analysed separately. After that, those articles that purely examined the tourism literature without defining a specific country of reference, that did not use an identifiable photographic method, or were focused on 3D modelling for virtual tourism, were given a “not applicable” (NA) country code. Finally, the coded results were analysed by frequency along the article publication timeline, and presented as figures.
Photographic Tourism Research: Literature Review
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