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Spatial interpolation vs neural network propagation as a method of extrapolating from field surveys

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dc.date.accessioned 2003-08-08 en
dc.date.accessioned 2020-02-20T12:10:07Z
dc.date.available 2020-02-20T12:10:07Z
dc.date.issued 2015-08-25 en
dc.identifier.uri http://hdl.handle.net/20.500.11910/8453
dc.description Paper delivered at the Fourth Biennial International conference of Society of South African Geographers, Rawsonville, July en
dc.description.abstract Field surveys are costly exercises and the use of such data is often limited to a predefined geographic area. The spatial value of field survey results is regularly under-utilised on account of restricted application by users. The Human Sciences Research Council (HSRC) conducts several surveys a year and in the past couple of years artificial neural network propagation was also used to extrapolate survey results to a more representative or national level. The aim of this paper is to examine the methodology of both models and to compare the results of spatial interpolation in a recent substance abuse survey. en
dc.format.medium Print en
dc.subject DATA ANALYSIS en
dc.subject SUBSTANCE ABUSE en
dc.subject FIELD SURVEY en
dc.subject SPATIAL INTERPOLATION en
dc.subject NEUROL NETWORK PROPAGATION en
dc.title Spatial interpolation vs neural network propagation as a method of extrapolating from field surveys en
dc.type Conference or seminar papers en
dc.BudgetYear 2001/02 en
dc.ResearchGroup Surveys, Analyses, Modelling and Mapping en
dc.ArchiveNumber 2250 en
dc.outputnumber 630 en
dc.bibliographictitle Weir-Smith, G. & Schwabe, C.A. (2001) Spatial interpolation vs neural network propagation as a method of extrapolating from field surveys. (Paper delivered at the Fourth Biennial International conference of Society of South African Geographers, Rawsonville, July). en
dc.publicationyear 2001 en
dc.contributor.author1 Weir-Smith, G. en
dc.contributor.author2 Schwabe, C.A. en


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