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Spatial vagueness and imprecision in databases
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Source Symposium on Applied Computing archive
Proceedings of the 2008 ACM symposium on Applied computing table of contents
Fortaleza, Ceara, Brazil
SESSION: Advances in spatial and image-based information systems table of contents
Pages 875-879  
Year of Publication: 2008
ISBN:978-1-59593-753-7
Authors
Alejandro Pauly  University of Florida, Gainesville, FL
Markus Schneider  University of Florida, Gainesville, FL
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The impossibility of current spatial database systems and GIS to handle spatial vagueness and imprecision has been recognized as an important problem in the spatial database domain. For years, researchers have focused on identifying the appropriate concepts that are necessary to effectively and efficiently deal with the vagueness and imprecision that not seldomly appears, but is widespread amongst spatial objects (especially those that are naturally occurring such as forests, mountains, and rivers). In this paper, we analyze the most popular formalisms for dealing with spatial uncertainty in databases. The analysis in this paper is centered around the definition of our Vague Spatial Algebra (VASA) which exemplifies a complete approach to handle vagueness in spatial databases. We compare VASA with existing concepts based on rough set theory and fuzzy set theory.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Alejandro Pauly: colleagues
Markus Schneider: colleagues