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The use of geographical information systems in socio-economic studies

The use of geographical information systems in socio-economic studies

Daplyn, P., Cropley, J., Treagust, S. and Gordon, A. (1994) The use of geographical information systems in socio-economic studies. NRI Socio-economic Series, 4 . Natural Resources Institute, Chatham, UK. ISBN 0859543722

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Abstract

Geographical information systems (GIS) have found wide and growing applications, as digital remote-sensing data and computer technology have become more sophisticated, more easily available and less expensive. NRI recently undertook preliminary research into potential socio-economic applications of GIS. The feasibility of utilizing spatial data, available in GIS, to model socio-economic relationships was examined. It included the following steps: (a) identification of hypothetical relationships between socio-economic variables and location-specific variables; (b) investigation of data sets that might permit the socio-economic variables to be modelled as a function of the spatial phenomena; and (c) a critical assessment of the prospects for modelling socio-economic relationships utilizing GIS data. A number of general issues concerning the availability of suitable data sets, which can constitute a serious constraint to GIS applications were highlighted in the case studies. Recommendations are made concerning how data could be made more amenable to this type of appliction, and the criteria that should be applied in assessing the feasibility of projects involving the use of GIS in socioeconomic studies.

Item Type: Book
Additional Information: © Crown copyright 1994
Uncontrolled Keywords: geographical information systems, GIS, socio-economic, spatial data
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Related URLs:
Last Modified: 21 Jun 2016 10:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12009

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