Progress report: 24-hour gridded population models

Martin, David, Cockings, Samantha and Leung, Samuel (2010) Progress report: 24-hour gridded population models. European Forum for Geostatistics Conference, Tallinn, Estonia, 05 - 07 Oct 2010.


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In a paper presented at the 2009 EFGS Conference in The Hague (Martin et al., 2009) we set out the early stages of a UK research project focused on the production of time-specific gridded population models. The present paper reviews overall progress with this work and develops in more detail some aspects of the modelling principles and available data sources which make this possible. The paper seeks to demonstrate how readily accessible data are beginning to provide many of the key inputs required to make time-specific representations of population. Time-specific models have the potential to overcome many key weaknesses of current representations which are generally based on dated population statistics about population numbers at place of residence and which fail to reflect massive cyclical spatial redistributions of population. In many application areas, current analyses persist in using population maps with major deficiencies due to the absence of plausible alternative models. The remainder of this paper is structured as follows: the following section provides a brief review of the case for more sophisticated time-space population distributions. The thirdsection reviews issues arising from the challenge of data source acquisition and integration and the final section indicates the progress made in the project to date with regard to addressing these challenges

Item Type: Conference or Workshop Item (Invited Paper)
Related URLs:
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions : University Structure - Pre August 2011 > School of Geography
ePrint ID: 175321
Accepted Date and Publication Date:
2010Made publicly available
Date Deposited: 23 Feb 2011 09:51
Last Modified: 31 Mar 2016 13:33
Population 24/7: space-time specific population surface modelling
Funded by: ESRC National Centre for Research Methods (RES-062-23-1811)
Led by: David James Martin
1 March 2009 to 30 April 2011

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