Multivariate analysis methods are defined as statistical procedures that involve the analysis of more than one variable at a time, with an emphasis on modeling the relationships between such variables. The use of these methods in geography became a significant component of the “quantitative revolution” within the discipline during the 1950s and 1960s and has been further stimulated by the widespread use of GIScience and a renewed interest in spatial statistics from the 1990s. Multivariate analysis methods are broadly classified into two categories: dependence and interdependence techniques. A dependence technique is one where a single variable or a set of variables is identified as the dependent variable to be explained or predicted by other variables known as explanatory or independent variables. An interdependence technique involves ...