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    Predictor variables of public perceptions and preferences for landscape planning and management

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    Author
    Gault, Gregory John, 1959-
    Issue Date
    1997
    Keywords
    Psychology, Behavioral.
    Landscape Architecture.
    Psychology, Social.
    Environmental Sciences.
    Urban and Regional Planning.
    Advisor
    Zube, Ervin H.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Landscape perception research has attempted to explain how people see and perceive landscapes, as well as, why people tend prefer some landscapes over others. An understanding of public perceptions and preferences is important for making appropriate decisions in the planning and management of our landscapes. Landscape perception research has focused on four major paradigms--expert, psychophysical, cognitive, and experiential--and has shown a wide variety of variables related to the landscape perceptions and preferences of the public. A comprehensive review of journal literature published over the last fifteen years revealed a total of 32 variables that, through empirical study, have been found to be important predictors of people's preferences for landscape. These important predictor variables are grouped into five categories and characterized to assist planners, landscape managers, and decision-makers in selecting appropriate variables for landscape assessment and evaluation. Recommendations for selecting predictor variables are provided.
    Type
    text
    Thesis-Reproduction (electronic)
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Renewable Natural Resources
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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