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

Abstract

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.