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Assessment of sliver polygons in geographical vector data

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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.
Keywords
SPATIAL-PATTERN, BUFFER OPERATION, ERROR PROPAGATION, cover change assessment, Land use, Area estimation, Vector polygon, Positional error, Sliver, MODELING ERROR, FEATURES, ACCURACY, GIS

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Citation

Please use this url to cite or link to this publication:

MLA
Delafontaine, Matthias et al. “Assessment of Sliver Polygons in Geographical Vector Data.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 23.6 (2009): 719–735. Print.
APA
Delafontaine, M., Nolf, G., Van de Weghe, N., Antrop, M., & De Maeyer, P. (2009). Assessment of sliver polygons in geographical vector data. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 23(6), 719–735.
Chicago author-date
Delafontaine, Matthias, Geraldine Nolf, Nico Van de Weghe, Marc Antrop, and Philippe De Maeyer. 2009. “Assessment of Sliver Polygons in Geographical Vector Data.” International Journal of Geographical Information Science 23 (6): 719–735.
Chicago author-date (all authors)
Delafontaine, Matthias, Geraldine Nolf, Nico Van de Weghe, Marc Antrop, and Philippe De Maeyer. 2009. “Assessment of Sliver Polygons in Geographical Vector Data.” International Journal of Geographical Information Science 23 (6): 719–735.
Vancouver
1.
Delafontaine M, Nolf G, Van de Weghe N, Antrop M, De Maeyer P. Assessment of sliver polygons in geographical vector data. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 2009;23(6):719–35.
IEEE
[1]
M. Delafontaine, G. Nolf, N. Van de Weghe, M. Antrop, and P. De Maeyer, “Assessment of sliver polygons in geographical vector data,” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, vol. 23, no. 6, pp. 719–735, 2009.
@article{668851,
  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.},
  author       = {Delafontaine, Matthias and Nolf, Geraldine and Van de Weghe, Nico and Antrop, Marc and De Maeyer, Philippe},
  issn         = {1365-8816},
  journal      = {INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE},
  keywords     = {SPATIAL-PATTERN,BUFFER OPERATION,ERROR PROPAGATION,cover change assessment,Land use,Area estimation,Vector polygon,Positional error,Sliver,MODELING ERROR,FEATURES,ACCURACY,GIS},
  language     = {eng},
  number       = {6},
  pages        = {719--735},
  title        = {Assessment of sliver polygons in geographical vector data},
  url          = {http://dx.doi.org/10.1080/13658810701694838},
  volume       = {23},
  year         = {2009},
}

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