Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/10249

Title: Placing land cover pattern preferences on the map. Bridging methodological approaches of landscape preferences surveys and spatial pattern analysis
Authors: Carvalho-Ribeiro, Sónia
Migliozzi, A.
Incerti, G.
Pinto-Correia, Teresa
Keywords: Landscape preferences
Spatial pattern analysis
Land cover preference mapping
Interdisciplinarity
Cluster analysis
Portugal
Issue Date: 2013
Publisher: Elsevier B.V.
Citation: Carvalho Ribeiro, S., Migliozzi, A., Incerti, G. and Pinto Correia, T. (2013). Placing land cover pattern preferences on the map. Bridging methodological approaches of landscape preferences surveys and spatial pattern analysis. Landscape Urban Planning (114), pg. 53-68. doi.org/10.1016/j.landurbplan.2013.02.011
Abstract: This paper presents an innovative methodological framework – Landscape Preferences Spatial Framework (LPSF) – which is able to translate landscape preferences, as expressed by various users, concerning possible land cover pattern compositions into land cover pattern preference maps. The innovative potential of the contribution lies in the exploration of a comprehensive methodical framework that facilitates the spatial representations of landscape demands by relevant user groups thus bridging the gap between landscape preference research and landscape planning. The LPSF developed here goes beyond the state of the art in translating local scale preference by people into regional scale planning settings. Throughout the paper the development and testing of the LPSF is described and explained. Although the paper focuses on the conceptual framework of the method, it also shows the results of its application in a case study.
URI: http://www.sciencedirect.com/science/article/pii/S0169204613000406
http://hdl.handle.net/10174/10249
Type: article
Appears in Collections:MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
PAO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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