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