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Restoring continuity: exploration of techniques for reconstructing the spatial distribution underlying polygonized data

Robinson, J.M. and Zubrow, E. (1997) Restoring continuity: exploration of techniques for reconstructing the spatial distribution underlying polygonized data. International Journal of Geographical Information Science, 11 (7). pp. 633-648.

Link to Published Version: http://dx.doi.org/10.1080/136588197242121
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Abstract

Polygonized data, e.g., census tract data, are hard to relate to other factors. We developed a procedure that: (a) dissects a continuous ‘original surface' into discrete polygons, and (b) reconstructs the original surface from the polygons. Five reconstruction algorithms were tested. We conclude that (a) degrade-andrestore techniques are an effective and intuitive way to test restoration skill; (b) resolution is more important than choice of algorithm; (c) results depend on the interplay of the original surface, the polygon mesh, and the restoration algorithm, and (d) sophisticated algorithms such as Kriging are best left to sophisticated users.

Item Type: Journal Article
Murdoch Affiliation: School of Environmental Science
Publisher: Taylor & Francis
URI: http://researchrepository.murdoch.edu.au/id/eprint/36316
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