Computational Modelling Group

Seminar  1st June 2011 4 p.m.  University of Southampton, Building 44, L/T B

Mapping time?specific population distributions: making census data 24/7

Samantha Cockings and Professor David Martin
University of Southampton

Web page
http://www.cghr.soton.ac.uk/
Categories
Geographic Information Systems, Human population, Social Networks, Transport
Submitter
Petrina Butler

Many applications (such as health, urban planning, disaster response and environmental management) require information about the spatial distribution of aggregate populations i.e. they need to know where people are.

Ideally, such data would be specific to the time period of interest e.g. time of the day, weekday or weekend, school vacation or term-time or a particular season of the year.

But, in many cases, such space-time specific data are not available and investigators are forced to use a general dataset, such as the UK Census of Population.

The problem with the census and other routinely collected datasets is that they only capture the night-time, residential, location of the population.

This paper presents results from the ESRC-funded “Pop24/7” project which has developed both a conceptual framework and methodological approach for producing space-time specific gridded population models using census and a wide range of other publicly available data.

The paper outlines the innovative approaches of the Pop24/7 models, presents illustrative outputs from the project and discusses potential applications and limitations of the models.

Samantha Cockings

Professor David Martin

Please circulate further.

All welcome.

Contact

Dr Eloise Biggs
Lecturer in GIS and Environmental Applications
Geography and Environment
University of Southampton
Southampton
SO17 1BJ

Tel: +44 (0)23 8059 9655
Email: Eloise.Biggs@southampton.ac.uk