2010
DOI: 10.1007/s12061-010-9058-0
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The Segmentation of Local Government Areas: Creating a New Geography of Nigeria

Abstract: Social area classifications group areas on the basis of social or socioeconomic similarity into cluster units which define their demographic and social characteristics. The methods used to create these systems combine geographic thought and theory with statistical manipulations of multivariate data. The development and use of geodemographic systems appear to be restricted within developing countries. Some commentators suggest that area classifications may not offer benefits to these countries. This paper argue… Show more

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Cited by 8 publications
(12 citation statements)
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“…Geodemographic classifications are spatial segmentations that use multi-criteria and geo-statistical techniques to group places and people into clusters of similarity (Harris et al, 2005). There is a significant amount of interest in the development and adaptation of geodemographic problem-solving approaches across much of the developed world (Vickers and Rees, 2006;Willis et al, 2010;Kimura et al, 2011;Singleton and Spielman, 2014) with minimal application in developing countries (Ojo and Ezepue, 2011;Ojo et al, 2012;Ojo et al, 2013).…”
Section: Potential Of Utilising Spatial Segmentation Profiling For Emmentioning
confidence: 99%
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“…Geodemographic classifications are spatial segmentations that use multi-criteria and geo-statistical techniques to group places and people into clusters of similarity (Harris et al, 2005). There is a significant amount of interest in the development and adaptation of geodemographic problem-solving approaches across much of the developed world (Vickers and Rees, 2006;Willis et al, 2010;Kimura et al, 2011;Singleton and Spielman, 2014) with minimal application in developing countries (Ojo and Ezepue, 2011;Ojo et al, 2012;Ojo et al, 2013).…”
Section: Potential Of Utilising Spatial Segmentation Profiling For Emmentioning
confidence: 99%
“…Geodemographic segmentations are generally developed by adapting clustering algorithms to relatively big multivariate spatial datasets (Ojo et al, 2012). This allows small areas to be grouped on the basis of their similarity in taxonomic space.…”
Section: Potential Of Utilising Spatial Segmentation Profiling For Emmentioning
confidence: 99%
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