Spatial interpolation vs neural network propagation as a method of extrapolating from field surveys
Year: 2025
Type: article
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.
Source: Figshare
DOI: 10.14749/30126061
Author: Human Sciences Research Council
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Funder: Human Sciences Research Council
OpenAlex ID: W7081646341
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