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Assessment of sliver polygons in geographical vector data

Matthias Delafontaine UGent, Geraldine Nolf, Nico Van de Weghe UGent, Marc Antrop UGent and Philippe De Maeyer UGent (2009) INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. 23(6). p.719-735
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
SPATIAL-PATTERN, BUFFER OPERATION, ERROR PROPAGATION, cover change assessment, Land use, Area estimation, Vector polygon, Positional error, Sliver, MODELING ERROR, FEATURES, ACCURACY, GIS
journal title
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Int. J. Geogr. Inf. Sci.
volume
23
issue
6
pages
719 - 735
Web of Science type
Article
Web of Science id
000268719500003
JCR category
INFORMATION SCIENCE & LIBRARY SCIENCE
JCR impact factor
1.533 (2009)
JCR rank
17/65 (2009)
JCR quartile
2 (2009)
ISSN
1365-8816
DOI
10.1080/13658810701694838
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
668851
handle
http://hdl.handle.net/1854/LU-668851
date created
2009-05-27 13:35:28
date last changed
2016-12-19 15:43:45
@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},
  keyword      = {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},
}
Chicago
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.
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.
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.
MLA
Delafontaine, Matthias, Geraldine Nolf, Nico Van de Weghe, et al. “Assessment of Sliver Polygons in Geographical Vector Data.” INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 23.6 (2009): 719–735. Print.