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    Advantages of multivariate analysis of the perception of crowding on the Tongariro Crossing compared with univariate analysis

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    Author
    Baldwin, Kathryn
    Date
    2007
    Permanent Link
    http://hdl.handle.net/10092/10101
    Degree Grantor
    University of Canterbury
    Degree Name
    Bachelor of Science with Honours

    Multivariate statistical analysis, in particular generalized additive models, is a very powerful approach used to investigate the significant variables that have an impact on crowding. As shown here in the 2005 visitor survey on the Tongariro Crossing. This technique provides advantages over previous univariate statistical analysis of this data. In particular it provides an objective basis to assess the crowding perceptions at different levels of walker daily numbers on the track. Generalized additive models can provide a more accurate picture of the issues currently present on the Tongariro Crossing.

    Subjects
    Field of Research::01 - Mathematical Sciences::0104 - Statistics::010401 - Applied Statistics
    Collections
    • Engineering: Reports [684]
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    http://library.canterbury.ac.nz/thesis/etheses_copyright.shtml

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