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Assessing the visual quality of rural landscapes [An article from: Landscape and Urban Planning]
Book Details
PublisherElsevier
ISBN / ASINB000RQYFT4
ISBN-13978B000RQYFT2
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Landscape and Urban Planning, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a methodology for assessing the visual quality of agricultural landscapes through direct and indirect techniques of landscape valuation. The first technique enables us to rank agricultural landscapes on the basis of a survey of public preferences. The latter weighs the contribution of the elements and attributes contained in the picture to its overall scenic beauty via regression analysis. An application based on two Mediterranean rural areas in Andalusia in Southern Spain is presented. The photos used in the survey included man-made elements, positive and negative, agricultural fields, mainly of cereals and olive trees, and a natural park. There were 10 panels, each containing 16 photos, and 226 participants ranked the best four and worst four pictures of each panel. Each participant ranked an average of 7.3 panels. The results show that perceived visual quality increases, in decreasing order of importance, with the degree of wilderness of the landscape, the presence of well-preserved man-made elements, the percentage of plant cover, the amount of water, the presence of mountains and the colour contrast.
Description:
This paper presents a methodology for assessing the visual quality of agricultural landscapes through direct and indirect techniques of landscape valuation. The first technique enables us to rank agricultural landscapes on the basis of a survey of public preferences. The latter weighs the contribution of the elements and attributes contained in the picture to its overall scenic beauty via regression analysis. An application based on two Mediterranean rural areas in Andalusia in Southern Spain is presented. The photos used in the survey included man-made elements, positive and negative, agricultural fields, mainly of cereals and olive trees, and a natural park. There were 10 panels, each containing 16 photos, and 226 participants ranked the best four and worst four pictures of each panel. Each participant ranked an average of 7.3 panels. The results show that perceived visual quality increases, in decreasing order of importance, with the degree of wilderness of the landscape, the presence of well-preserved man-made elements, the percentage of plant cover, the amount of water, the presence of mountains and the colour contrast.
