1. Assessment of sliver polygons in geographical vector data
- Author
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Matthias Delafontaine, Ph. De Maeyer, Marc Antrop, N. Van de Weghe, and G. Nolf
- Subjects
Propagation of uncertainty ,Land use allocation ,Land use ,Cover (telecommunications) ,Geography, Planning and Development ,Overlay ,Library and Information Sciences ,computer.software_genre ,Geography ,Polygon ,Spatial data quality ,Data mining ,Spurious relationship ,Cartography ,computer ,Information Systems - Abstract
As positional error is a major issue in the assessment of spatial data quality, its propagation has been studied widely in map overlaying. However, few studies deal with a manifest consequence of positional error in map overlaying, namely sliver polygons. Sliver polygons are generally treated as awkward by-products that need to be removed quickly. Nevertheless, as they represent spurious areas, their nature and properties carry useful information, for example, for land use/cover assessment. Therefore, next to sliver removal, there is a need for intelligent detection and eventually further analysis of sliver polygons. This article proposes a general, semi-automated method for the assessment of slivers in vector polygon layers. A case study in Flanders (Belgium) illustrates a possible application in area estimation evaluation of land use allocation classes.
- Published
- 2009