The extensive use of the Geographical Information Systems, but also of their extensions, in fields that do not necessary connect to geography, but allow for the implementation of methodologies based on the analysis of spatially referenced data, had resulted into new applications and methodological approaches to answer specific research questions. This paper proposes such an extension from the real space define by longitude and latitude to a virtual

Principal Component Analysis is a statistical instrument able to identify the variables explaining most variation within a sample. When the lines are administrative units within a region, and the input variable account for a specific issue (e.g., level of development etc.), Principal Component Analysis can be used to pinpoint the variables explaining mostly the specific issue. Moreover, if used in conjunction with GIS modeling, the entire approach