An utilization of the GIS and multidimensional statistical methods on the chosen EU universities: Similarities assessment

Abstract

The paper deals with the analysis of the similarity's rate of 81 universities and other schools of university's type in EU all of which have in this consideration the same status. From each state of the European Union, three largest universities according to the number of students criterion were chosen (when such an amount of universities was existing in the considered state) and added to our database. We have used hierarchical clustering methods based on the simple join of several clusters as well as methods of explorative analysis presented by some profile diagrams in order to compare these universities. As the space analysis created in the geographical information system environment is joined here with the methods of mathematical statistics, we consider the paper being important both from the interdisciplinary and the statistical-environment analysis point of view. It points out to the fact that multi-dimensional statistical methods can be used also at interdisciplinary level.

Keywords

• clustering and multidimensional statistical methods
• GIS
• database of EU universities