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Predicting scenic beauty of forest stands in Catalonia (North-east Spain)
Relative preferences of 90 images of forest stands, photos and virtual reality images were investigated by the internet to develop a quantitative model for estimating scenic beauty preferences at the stand level. The relative priority values obtained from the questionnaire of a total of 259 judges were analyzed using regression methods for pairwise comparisons. Two models were developed based on two different groups of stands. Both models indicate that the priority of a forest stand increases with an augment in the number of bushes and trees, and also with the mean diameter of trees. On the other hand, the priority is low with large number of pines and small trees. Stands represented by photos receive better priority values than those represented by virtual reality images. When the background of the judges (gender, country or occupation) was included into the model as additional predictors, no significant improvements are achieved.
作 者: Elena Blasco José Ramón González-Olabarria Pedro Rodriguéz-Veiga Timo Pukkala Osmo Kolehmainen Marc Palahí 作者单位: Elena Blasco(Centre Tecnològic Forestal de Catalunya,Pujada del seminari s/n,25280,Solsona,Spain)José Ramón González-Olabarria(Centre Tecnològic Forestal de Catalunya,Pujada del seminari s/n,25280,Solsona,Spain;EFIMED,Mediterran Regional Office of the European Forest Institute,Passeig Lluis Companys 23,8010 Barcelona,Spain)
Pedro Rodriguéz-Veiga(University of Vigo,Pontevedra 36200,Spain)
Timo Pukkala(ForEcoTechonologies.Av,Diagonal 416,estudio 2,08037,Barcelona,Spain)
Osmo Kolehmainen(University of Joensuu,Departmont of Computer Science and Statistics,Science Park,3rd floor L(a)nsikatu 15,80110,Joensuu,Finland)
Marc Palahí(EFIMED,Mediterran Regional Office of the European Forest Institute,Passeig Lluis Companys 23,8010 Barcelona,Spain)
刊 名: 林业研究(英文版) 英文刊名: JOURNAL OF FORESTRY RESEARCH 年,卷(期): 2009 20(1) 分类号: S7 关键词: analytic hierarchy process landscape preferences pairwise comparison virtual reality【Predicting scenic beauty of forest s】相关文章:
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