Spatial interpolation vs neural network propagation as a method of extrapolating from field surveys
OUTPUT TYPE: Conference or seminar papers
PUBLICATION YEAR: 2001
TITLE AUTHOR(S): G.Weir-Smith, C.A.Schwabe
KEYWORDS: DATA ANALYSIS, FIELD SURVEY, NEUROL NETWORK PROPAGATION, SPATIAL INTERPOLATION, SUBSTANCE ABUSE
Print: HSRC Library: shelf number 2250
HANDLE: 20.500.11910/8453
URI: http://hdl.handle.net/20.500.11910/8453
PUBLICATION YEAR: 2001
TITLE AUTHOR(S): G.Weir-Smith, C.A.Schwabe
KEYWORDS: DATA ANALYSIS, FIELD SURVEY, NEUROL NETWORK PROPAGATION, SPATIAL INTERPOLATION, SUBSTANCE ABUSE
Print: HSRC Library: shelf number 2250
HANDLE: 20.500.11910/8453
URI: http://hdl.handle.net/20.500.11910/8453
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
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.-
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