I'm working with dataset of individual households that I aggregate into 'areas' using several different spatial configurations, from smaller to bigger.
These areas are then characterized by four variables (two categorical, two continuous).
I'd like to see what effects these different aggregations have on the dataset. Particularly, I'd like to estimate what the differences in homogeneity are when I move from one spatial resolution to another.
What would be the best way to approach this problem? Is there any measure I could use for this purpose?