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Population 24/7: building space-time specific population surface models

Cockings, Samantha, Martin, David and Leung, Samuel, (2010) Population 24/7: building space-time specific population surface models Hakley, M., Morley, J. and Rahemtulla, H. (eds.) In Proceedings of the GIS Research UK 18th Annual Conference GISRUK 2010. University College London., pp. 41-48.

Record type: Conference or Workshop Item (Paper)


Many areas of social science research rely on small area representations of population. Current approaches to spatial population modelling rely almost exclusively on georeferencing of residential locations, drawing heavily on census definitions of ‘resident population’ and therefore essentially presenting an abstract representation of night-time population distribution (Bhaduri, 2008). There are however, good conceptual and practical arguments for modelling population at different times, incorporating population movements from seasonal to diurnal timescales so as to predict, for example, population exposure to a specific hazard or potential customer numbers during a working day. This paper presents early results from an ESRC-funded project to develop space-time specific population surface models of the UK. The project is based on an existing adaptive kernel density approach for building gridded surface population models (Martin, 1996), which is now being extended into a spatio-temporal kernel density estimation method. We begin by briefly reviewing relevant methods, then move on to our conceptual framework, data sources and modelling approach and conclude with some early illustrative results.

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Published date: 2010
Venue - Dates: conference; gb; 2010-04-14; 2010-04-16, United Kingdom, 2010-04-14 - 2010-04-16
Keywords: space-time, surface, population modelling, grid, spatio-temporal


Local EPrints ID: 164199
PURE UUID: f683a943-ae32-41f9-9b34-83ee3b57f0f0
ORCID for David Martin: ORCID iD

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Date deposited: 22 Sep 2010 08:15
Last modified: 18 Jul 2017 12:29

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Author: David Martin ORCID iD
Author: Samuel Leung
Editor: M. Hakley
Editor: J. Morley
Editor: H. Rahemtulla

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