scholarly journals THE USE OF CROWDSOURCED GEOGRAPHIC INFORMATION FOR SPATIAL EVALUATION OF CULTURAL ECOSYSTEM SERVICES IN THE AGRICULTURAL LANDSCAPE: THE CASE OF CHIANTI CLASSICO (ITALY)

New Medit ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 105-118
Author(s):  
Veronica Alampi Sottini ◽  
Elena Barbierato ◽  
Iacopo Bernetti ◽  
Irene Capecchi ◽  
Sara Fabbrizzi ◽  
...  

The use of geo-tagged photographs seems to be a promising alternative to assess Cultural Ecosystem Services CESs in respect to the traditional investigation when focusing on the study of the aesthetic appreciation of a protected area or natural landscape. The aim of this study is integrating the cumulative viewshed calculated from geotagged photo metadata publicly shared on Flickr with raster data on infrastructure, historical sites, and the natural environment, using landscape ecology metrics and RandomForest modelling. Crowdsourced data provided empirical assessments of the covariates associated with visitor distribution, highlighting how changes in infrastructure, crops and environmental factors can affect visitor’s use. These data can help researchers, managers, and public planners to develop projects, and guidelines in the rural landscape for incresing the supply for CESs.

2020 ◽  
Vol 43 ◽  
pp. 101091 ◽  
Author(s):  
Ilan Havinga ◽  
Patrick W. Bogaart ◽  
Lars Hein ◽  
Devis Tuia

2016 ◽  
Vol 69 ◽  
pp. 78-90 ◽  
Author(s):  
Uta Schirpke ◽  
Florian Timmermann ◽  
Ulrike Tappeiner ◽  
Erich Tasser

2022 ◽  
Vol 193 ◽  
pp. 107286
Author(s):  
M. Borrello ◽  
L. Cecchini ◽  
R. Vecchio ◽  
F. Caracciolo ◽  
L. Cembalo ◽  
...  

2019 ◽  
Vol 11 (21) ◽  
pp. 6137
Author(s):  
Michelle Johnson ◽  
Lindsay Campbell ◽  
Erika Svendsen ◽  
Heather McMillen

Understanding the benefits received from urban greenspace is critical for planning and decision-making. The benefits of parks can be challenging to measure and evaluate, which calls for the development of novel methods. Crowdsourced data from social media can provide a platform for measuring and understanding social values. However, such methods can have drawbacks, including representation bias, undirected content, and a lack of demographic data. We compare the amount and distribution of park benefits elicited from (1) tweets on Twitter about Prospect Park, Brooklyn, New York (n = 451) with park benefits derived from (2) broad (n = 288) and (3) directed (n = 39) questions on two semi-structured interview protocols for park users within Prospect Park. We applied combined deductive and inductive coding to all three datasets, drawing from the Millennium Ecosystem Assessment’s (MEA) cultural ecosystem services (CES) framework. All three methods elicited an overlapping set of CES, but only the Twitter dataset captured all 10 MEA-defined CES. All methods elicited social relations and recreation as commonly occurring, but only the directed question interview protocol was able to widely elicit spiritual values. We conclude this paper with a discussion of tradeoffs and triangulation opportunities when using Twitter data to measure CES and other urban park benefits.


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