Many areas of social science research and policy are concerned with the exact locations of population, for example to measure exposure or target resources. Currently available representations effectively estimate population at home addresses, or 'workplace' populations, which provide a partial view of the population at places of work.  Neither of these satisfies the pressing need for representations of the ever-changing spatial distribution of population over time.  The temporal dimension incorporates both historical and cyclical timescales in addition to unique events which influence the spatial distribution of population.

This research will develop new methodology for modelling the distribution of population in time-space.  It builds on established spatial population modelling to include emerging datasets in a generalisable modelling framework.  Earlier work redistributed data from area centroids and population counts.  The project will extend this to incorporate counts appropriate to any specific time and date.  Census output areas, workplaces, educational establishments, hospitals and leisure locations can be treated as 'centroids' around which counts can be redistributed over both space and time. 

The project encompasses methodological development, computer programming and reference dataset production.  Results will be disseminated through a web interface and mid-term research workshop.



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Workshop on modelling population 24/7

Organiser: David Martin Date: 23 April 2012 Organised event

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Mapping population 24/7 : direction of travel

Author: David Martin Date: 23 April 2012 Seminar/workshop

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Pop24/7 project

Creator: David Martin Date: 21 April 2012 Website

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Census GIS and beyond : a journey in space and time

Author: David Martin Date: 21 April 2012 Presentation/lecture

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Mapping population over time : new ways of exploiting open data

Author: David Martin Date: 21 April 2012 Seminar/workshop

Gridded models in the UK : beyond the 2011 census

Author: David Martin Date: 12 October 2011 Conference paper/presentation

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Mapping UK population over time

Author: David Martin Date: 26 July 2011 Seminar/workshop

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The representation of population and urban systems

Author: David Martin Date: 26 July 2011 Seminar/workshop

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Population 24/7 download : user guide

Author: David Martin Date: 26 July 2011 Manual

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SurfaceBuilder247 : user guide

Author: David Martin Date: 26 July 2011 Manual

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SurfaceBuilder247 software

Author: David Martin Date: 26 July 2011 Software/multimedia package

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Population 24/7

Author: David Martin Date: 25 June 2011 Seminar/workshop

Pop24/7 : mapping space-time specific populations for health

Author: Samantha Cockings Date: 25 June 2011 Seminar/workshop

Pop24/7 : mapping space-time specific populations for health

Author: Samantha Cockings Date: 25 June 2011 Seminar/workshop

Pop 24/7 : mapping space-time specific populations

Author: Samantha Cockings Date: 25 June 2011 Seminar/workshop

Pop24/7 : mapping space-time specific populations for health

Author: Samantha Cockings Date: 25 June 2011 Seminar/workshop

Open all hours : rethinking population mapping

Author: David Martin Date: 25 June 2011 Seminar/workshop

Using open data to map population 24/7

Author: David Martin Date: 25 June 2011 Conference paper/presentation

Right time, right place? : space-time specific population models

Author: Samantha Cockings Date: 25 June 2011 Conference paper/presentation

Visualizing population distributions 24/7

Author: David Martin Date: 25 June 2011 Conference paper/presentation

Progress report : 24-hour gridded population models

Author: David Martin Date: 25 June 2011 Conference paper/presentation

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Population 24/7 : building time-specific population grid models

Author: David Martin Date: 26 February 2010 Conference paper/presentation

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Population 24/7 : population mapping gets out of bed!

Creator: David Martin Date: 25 February 2010 Seminar/workshop

Start date
01 March 2009
End date
29 April 2011
Grant holder
Professor David Martin
Co-applicants
Ms Samantha Cockings
Mr Yung Leung
Grant amount
£251,726.81
Grant reference
RES-062-23-1811
Discipline
Human Geography
Grant type