Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/72537
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dc.contributor.authorCheryl Abundo
dc.date.accessioned2017-08-25T03:47:33Z
dc.date.available2017-08-25T03:47:33Z
dc.date.issued2017
dc.identifier.citationCheryl Abundo. (2017). Spatio-temporal modelling of population and urban mobility. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/72537
dc.description.abstractCrucial in the exchange of information, may it be tangible or not, is mobility. From long-range migrations of populations to short-range movements in urban areas, communities operate in the context of the networks of interactions they are embed- ded in. The principal properties that de ne the attributes and evolution of systems are in uenced by their mobility networks regardless of scale in space and time. In the long time scale of population migrations, we study the coevolution of languages and genes spanning centuries.en_US
dc.format.extent172 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Science::Mathematicsen_US
dc.titleSpatio-temporal modelling of population and urban mobilityen_US
dc.typeThesis
dc.contributor.supervisorChew Lock Yueen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degree​Doctor of Philosophy (SPMS)en_US
dc.identifier.doi10.32657/10356/72537-
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