Spatially constrained geospatial similarity
I assume you are trying to find a suitable distance metric based on features of different areas (although spatial distances might also easily be plugged in). In that case, I would first try to make sure the different features are correctly scaled, for example, to zero mean and unit variance.

If the result does not seem right, I would also try looking at different distance metrics. A simple alternative example is the L1 norm:

L1(a, b) = sum_x |x_a - x_b|