  The morphology of urban agglomeration is studied here in the context of
information exchange between different spatio-temporal scales. Cities are
multidimensional non-linear phenomena, so understanding the relationships and
connectivity between scales is important in determining how the interplay of
local/regional urban policies may affect the distribution of urban settlements.
In order to quantify these relationships, we follow an information theoretic
approach using the concept of Transfer Entropy. Our analysis is based on a
stochastic urban fractal model, which mimics urban growing settlements and
migration waves. The results indicate how different policies could affect urban
morphology in terms of the information generated across geographical scales.
