Journal article
Restoring continuity: exploration of techniques for reconstructing the spatial distribution underlying polygonized data
International Journal of Geographical Information Science, Vol.11(7), pp.633-648
1997
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.
Details
- Title
- Restoring continuity: exploration of techniques for reconstructing the spatial distribution underlying polygonized data
- Authors/Creators
- J.M. Robinson (Author/Creator)E. Zubrow (Author/Creator)
- Publication Details
- International Journal of Geographical Information Science, Vol.11(7), pp.633-648
- Publisher
- Taylor & Francis
- Identifiers
- 991005542472007891
- Murdoch Affiliation
- School of Environmental Science
- Language
- English
- Resource Type
- Journal article
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