Current generic SOLAP systems do not support analysis with two spatial entities simultaneously, for example "total flights between the airport X to airport Y" or "what is the amount of waste released by an industry X in the river Y?". On the other hand, maps visualization can trigger the opposite effect. Easily the map may become disorganized due to the excessive spatial objects present, which affect the visualization / analysis of spatial data. This thesis intends to extend the generic SOLAP model, in order to withstand analysis where there are two spatial entities simultaneously and integrate spatial clustering algorithms, in order to ensure the visibility of the map in situations of excessive spatial objects.
