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The use of latent classes to identify individual differences in the importance of landscape dimensions for aesthetic preference

Marjanne Sevenant (UGent) and Marc Antrop (UGent)
(2010) LAND USE POLICY. 27(3). p.827-842
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Latent class regression, Preference heterogeneity, Landscape dimensions, Panoramic photographs, repeated measures, Aesthetic preference, VISUAL PREFERENCES, RURAL LANDSCAPES, AGRARIAN LANDSCAPES, CONSERVATION BEHAVIOR, ATTITUDINAL DATA, PERCEPTIONS, ATTRIBUTES, INDICATORS

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Citation

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Chicago
Sevenant, Marjanne, and Marc Antrop. 2010. “The Use of Latent Classes to Identify Individual Differences in the Importance of Landscape Dimensions for Aesthetic Preference.” Land Use Policy 27 (3): 827–842.
APA
Sevenant, M., & Antrop, M. (2010). The use of latent classes to identify individual differences in the importance of landscape dimensions for aesthetic preference. LAND USE POLICY, 27(3), 827–842.
Vancouver
1.
Sevenant M, Antrop M. The use of latent classes to identify individual differences in the importance of landscape dimensions for aesthetic preference. LAND USE POLICY. 2010;27(3):827–42.
MLA
Sevenant, Marjanne, and Marc Antrop. “The Use of Latent Classes to Identify Individual Differences in the Importance of Landscape Dimensions for Aesthetic Preference.” LAND USE POLICY 27.3 (2010): 827–842. Print.
@article{818102,
  author       = {Sevenant, Marjanne and Antrop, Marc},
  issn         = {0264-8377},
  journal      = {LAND USE POLICY},
  keyword      = {Latent class regression,Preference heterogeneity,Landscape dimensions,Panoramic photographs,repeated measures,Aesthetic preference,VISUAL PREFERENCES,RURAL LANDSCAPES,AGRARIAN LANDSCAPES,CONSERVATION BEHAVIOR,ATTITUDINAL DATA,PERCEPTIONS,ATTRIBUTES,INDICATORS},
  language     = {eng},
  number       = {3},
  pages        = {827--842},
  title        = {The use of latent classes to identify individual differences in the importance of landscape dimensions for aesthetic preference},
  url          = {http://dx.doi.org/10.1016/j.landusepol.2009.11.002},
  volume       = {27},
  year         = {2010},
}

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