title: Urban Transfer Entropy across Scales.
abstract: The morphology of urban agglomeration is studied here in the context of information exchange between different spatio-temporal scales. Urban migration to and from cities is characterised as non-random and following non-random pathways. 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.
authors.affiliation: Centre for Advanced Spatial Analysis, University College London, London, United Kingdom.
authors.forename: Roberto
authors.initials: R
authors.lastname: Murcio
authors.affiliation: Centre for Advanced Spatial Analysis, University College London, London, United Kingdom.
authors.forename: Robin
authors.initials: R
authors.lastname: Morphet
authors.affiliation: Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Distrito Federal, Mexico.
authors.forename: Carlos
authors.initials: C
authors.lastname: Gershenson
authors.affiliation: Centre for Advanced Spatial Analysis, University College London, London, United Kingdom.
authors.forename: Michael
authors.initials: M
authors.lastname: Batty
mesh_terms: D006801:Humans; D008962:Models, Theoretical