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--- wiki:aesthetic_values [2017/06/29 14:17] – c71737
+++ wiki:aesthetic_values [2017/08/17 14:35] (current) – apolderman
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-Although research in visual aesthetic quality of landscapes is well established, efficient and standardised evaluation techniques for [[:wiki:cultural_services|cultural ecosystem]] services are still needed to support [[:wiki:landscape_management|decision-making and landscape planning]]((Plieninger T, Bieling C, Fagerholm N, Byg A, Hartel T, Hurley P, López-Santiago CA, Nagabhatla N, Oteros-Rozas E, Raymond CM, van der Horst D, Huntsinger L. The role of cultural ecosystem services in landscape management and planning. Curr. Opin. Environ. Sustain. 2015, 14, 28–33.)) . Aesthetic values have mostly been quantified by using indicators such as visual quality, number of scenic roads or house prices((Hernández-Morcillo M, Plieninger T, Bieling C. An empirical review of cultural ecosystem service indicators Ecol. Ind. 2013, 29, 434–444.)) . To map aesthetic values, mainly spatial indicators are applied describing specific landscape features or pattern((Szücs L, Anders U, Bürger-Arndt R. Assessment and illustration of cultural ecosystem services at the local scale – a retrospective trend analysis. Ecol. Ind. 2015, 50, 120–134)) . Questionnaires or interviews are used to gather [[:wiki:stakeholder_analysis|people's judgements]]((Soliva R, Hunziker M. Beyond the visual dimension: using ideal type narratives to analyse people's assessments of landscape scenarios. Land Use Policy 2009, 26, 284–294)) , and participatory mapping exercises can integrate the spatial dimension((Plieninger T, Dijks S, Oteros-Rozas E, Bieling C. Assessing, mapping, and quantifying cultural ecosystem services at community level. Land Use Policy 2013, 33, 118–129.)) . Spatial models by combining viewshed analysis with landscape indicators and human preferences via regression analysis are suitable for analysing a great number of observer points((10)) )</sup> . Recently, studies used crowd-sourced information from social media such as Flickr and Panoramio to analyse landscape preferences by relating geo-tagged photographs to landscape visual indicators((Tenerelli P, Püffel C, Luque S. Spatial assessment of aesthetic services in a complex mountain region: combining visual landscape properties with crowdsourced geographic information. Landscape Ecology 2017, 32(5), 1097-115.)) .
+Although research in visual aesthetic quality of landscapes is well established, efficient and standardised evaluation techniques for [[:wiki:cultural_services|cultural ecosystem]] services are still needed to support [[:wiki:landscape_management|decision-making and landscape planning]]((Plieninger T, Bieling C, Fagerholm N, Byg A, Hartel T, Hurley P, López-Santiago CA, Nagabhatla N, Oteros-Rozas E, Raymond CM, van der Horst D, Huntsinger L. The role of cultural ecosystem services in landscape management and planning. Curr. Opin. Environ. Sustain. 2015, 14, 28–33.)) . Aesthetic values have mostly been quantified by using indicators such as visual quality, number of scenic roads or house prices((Hernández-Morcillo M, Plieninger T, Bieling C. An empirical review of cultural ecosystem service indicators Ecol. Ind. 2013, 29, 434–444.)) . To map aesthetic values, mainly spatial indicators are applied describing specific landscape features or pattern((Szücs L, Anders U, Bürger-Arndt R. Assessment and illustration of cultural ecosystem services at the local scale – a retrospective trend analysis. Ecol. Ind. 2015, 50, 120–134)) . Questionnaires or interviews are used to gather [[:wiki:stakeholder_analysis|people's judgements]]((Soliva R, Hunziker M. Beyond the visual dimension: using ideal type narratives to analyse people's assessments of landscape scenarios. Land Use Policy 2009, 26, 284–294)) , and participatory mapping exercises can integrate the spatial dimension((Plieninger T, Dijks S, Oteros-Rozas E, Bieling C. Assessing, mapping, and quantifying cultural ecosystem services at community level. Land Use Policy 2013, 33, 118–129.)) . Spatial models by combining viewshed analysis with landscape indicators and human preferences via regression analysis are suitable for analysing a great number of observer points((Schirpke U, Timmermann F, Tappeiner U, Tasser E. Cultural ecosystem services of mountain regions: Modelling the aesthetic value. Ecological indicators 2016, 69, 78-90.)) ) . Recently, studies used crowd-sourced information from social media such as Flickr and Panoramio to analyse landscape preferences by relating geo-tagged photographs to landscape visual indicators((Tenerelli P, Püffel C, Luque S. Spatial assessment of aesthetic services in a complex mountain region: combining visual landscape properties with crowdsourced geographic information. Landscape Ecology 2017, 32(5), 1097-115.)) .
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-{{  :wiki:aesthetic_value_model.png?nolink&  }}**__Figure 1:__**  Spatial model to estimate aesthetic value in[[:wiki:mountain_and_mountain_area|mountain]][[:wiki:mountain_and_mountain_area| areas]] (from Schirpke et al., 2016)<sup>)</sup>  . The model combines spatial analysis (landscape metrics, the visible area, landscape features) with landscape preferences from a tipercepon survey via regression analysis. The model was applied in two study areas in the Central Alps to estimate the aesthetic value along hiking trails.
+{{  :wiki:aesthetic_value_model.png?nolink&  }}**__Figure 1:__**  Spatial model to estimate aesthetic value in[[:wiki:mountain_and_mountain_area|mountain]][[:wiki:mountain_and_mountain_area| areas]] (from Schirpke et al., 2016)(()) . The model combines spatial analysis (landscape metrics, the visible area, landscape features) with landscape preferences from a tipercepon survey via regression analysis. The model was applied in two study areas in the Central Alps to estimate the aesthetic value along hiking trails.
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 [[:wiki:uibk_landschaftsoekologie|Research Group Ecosystem Research and Landscape Ecology]]
+~~DISCUSSION~~{{tag>"ecosystem_services" "aesthetic_values" "AlpES_project"}}