Restoring continuity: exploration of techniques for reconstructing the spatial distribution underlying polygonized data
作者:
JENNIFERM. ROBINSON,
EZRA ZUBROW,
期刊:
International Journal of Geographical Information Science
(Taylor Available online 1997)
卷期:
Volume 11,
issue 7
页码: 633-648
ISSN:1365-8816
年代: 1997
DOI:10.1080/136588197242121
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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.
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