Browse by author
Lookup NU author(s): Emeritus Professor Mike Coombes, Dr Simon Raybould
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Surface modelling has great potential as a means of reducing the perennial constraints on data availability for policy-relevant analyses of population distribution and characteristics. The challenge is that the key criteria routinely used to distinguish which datasets are suitable for policy analyses in Britain are rooted in the Government Statistical Service's adherence to classical statistical practices. In this paper, the strengths and weaknesses of surfaced data are examined against these criteria, and the potential for overcoming the likely resistance to adopting surfaced data is suggested to lie in customisation of the analyses to meet specific policy concerns. To illustrate this approach, and assess its potential value for policy analyses, two datasets produced by different forms of surfacing are described.
Author(s): Coombes M, Raybould S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Annual Meeting of the RGS-IBG: Surfaces in Geography
Year of Conference: 2000
Pages: 319-342
ISSN: 1361-1682
Publisher: Transactions in GIS: Wiley-Blackwell
URL: http://dx.doi.org/10.1111/1467-9671.00059
DOI: 10.1111/1467-9671.00059
