期刊
ECOLOGY AND SOCIETY
卷 21, 期 3, 页码 -出版社
RESILIENCE ALLIANCE
DOI: 10.5751/ES-08436-210306
关键词
crowdsourcing; cultural ecosystem services; environmental spaces detection; online imagery; social preferences; spatial analysis; volunteered geographic information (VGI)
资金
- UK Research Council through the UCL Centre for Virtual Environments Interaction and Visualisation (VEIV)
- Institute of Zoology (IoZ) of the Zoological Society of London (ZSL)
- Engineering and Physical Sciences Research Council [1108498] Funding Source: researchfish
Within ecological research and environmental management, there is currently a focus on demonstrating the links between human well-being and wildlife conservation. Within this framework, there is a clear interest in better understanding how and why people value certain places over others. We introduce a new method that measures cultural preferences by exploring the potential of multiple online georeferenced digital photograph collections. Using ecological and social considerations, our study contributes to the detection of places that provide cultural ecosystem services. The degree of appreciation of a specific place is derived from the number of people taking and sharing pictures of it. The sequence of decisions and actions taken to share a digital picture of a given place includes the effort to travel to the place, the willingness to take a picture, the decision to geolocate the picture, and the action of sharing it through the Internet. Hence, the social activity of sharing pictures leaves digital proxies of spatial preferences, with people sharing specific photos considering the depicted place not only worth visiting but also worth sharing visually. Using South Wales as a case study, we demonstrate how the proposed methodology can help identify key geographic features of high cultural value. These results highlight how the inclusion of geographical user-generated content, also known as volunteered geographic information, can be very effective in addressing some of the current priorities in conservation. Indeed, the detection of the most appreciated nonurban areas could be used for better prioritization, planning, and management.
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