Unemployment in South Africa: building a spatio-temporal understanding
SOURCE: South African Journal of Geomatics
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2013
TITLE AUTHOR(S): G.Weir-Smith, F.Ahmed
KEYWORDS: GEOGRAPHIC INFORMATION SYSTEMS (GIS), SPATIAL DEVELOPMENT, SPATIAL INFORMATION SYSTEMS, UNEMPLOYMENT
Print: HSRC Library: shelf number 7836
HANDLE: 20.500.11910/2872
URI: http://hdl.handle.net/20.500.11910/2872
OUTPUT TYPE: Journal Article
PUBLICATION YEAR: 2013
TITLE AUTHOR(S): G.Weir-Smith, F.Ahmed
KEYWORDS: GEOGRAPHIC INFORMATION SYSTEMS (GIS), SPATIAL DEVELOPMENT, SPATIAL INFORMATION SYSTEMS, UNEMPLOYMENT
Print: HSRC Library: shelf number 7836
HANDLE: 20.500.11910/2872
URI: http://hdl.handle.net/20.500.11910/2872
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
Abstract
The spatial understanding of unemployment in South Africa is often limited to provinces. This paper explores ways to integrate unemployment data from 1991 to 2007 to obtain a spatially more detailed understanding of the phenomenon. Creating such a temporal GIS is challenging because of the changing administrative boundaries and this phenomenon is part of the modifiable areal unit problem (MAUP). The MAUP was overcome by using proportional aggregation to the 2005 municipal boundaries. The unemployment data were analysed spatially through mapping standard deviation intervals and spatial autocorrelation. Unemployment showed a spatial pattern over time in South Africa and municipalities with high unemployment figures over time were spatially concentrated. Furthermore, it is recommended that census data should be released at a small area level to allow more accurate comparison of socio-economic data over time.-
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