Murcio, R;
Morphet, R;
Gershenson, C;
Batty, M;
(2015)
Urban Transfer Entropy across Scales.
PLoS One
, 10
(7)
, Article e0133780. 10.1371/journal.pone.0133780.
Preview |
Text
Urban Transfer Entropy across Scales..pdf Download (723kB) | Preview |
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.
Type: | Article |
---|---|
Title: | Urban Transfer Entropy across Scales |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1371/journal.pone.0133780 |
Publisher version: | http://dx.doi.org/10.1371/journal.pone.0133780 |
Additional information: | © 2015 Murcio et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery.ucl.ac.uk/id/eprint/1472465 |
Archive Staff Only
![]() |
View Item |