Leung, Samuel, Martin, David and Cockings, Samantha
Linking UK public geospatial data to build 24/7 space-time specific population surface models
At GIScience 2010: Sixth international conference on Geographic Information Science, Switzerland.
14 - 17 Sep 2010.
Full text not available from this repository.
Until recently any attempt to model population distribution over space has been largely dependent on georeferencing of resident population and therefore presents an abstract representation of night-time population pattern (Bhaduri, 2008). There are however, good arguments for modelling population at different times, incorporating population movements from seasonal to diurnal timescales so as to predict, for example, vulnerable population for rapid disaster relief or potential customer numbers during a working day. This paper presents early results from a publicly-funded project to develop space-time specific population surface models of the UK. The project extends Martin’s (1996) adaptive kernel density approach into a spatio-temporal kernel density estimation for building gridded surface population models. We begin by briefly reviewing relevant methods, then move on to our conceptual modelling and data linkage and conclude with some early illustrative results.
Conference or Workshop Item
|Venue - Dates:
||GIScience 2010: Sixth international conference on Geographic Information Science, Switzerland, 2010-09-14 - 2010-09-17
||population modelling, gridded population, linked data, geospatial data linkage, census, daytime population, night-time population, spatial-temporal, space-time
||22 Sep 2010 08:07
||18 Apr 2017 03:41
|Further Information:||Google Scholar|
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