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
2007Permanent Link
http://hdl.handle.net/10092/10101Degree Grantor
University of CanterburyDegree Name
Bachelor of Science with HonoursMultivariate 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 StatisticsCollections
- Engineering: Reports [684]