2000
DOI: 10.1016/s0165-0114(99)00010-x
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Fuzzy objects for geographical information systems

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Cited by 80 publications
(22 citation statements)
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“…Much of the subsequent work has focused on sub-and super-State scale regions in the US (for a review, see Shortridge, 1987), though as the examples above show there is also a great richness to be found at the community and small-group level. Plainly such features are a subset of the more general division of cognitive spatial objects and therefore fit well within the current research trend that aims to explain and manipulate all geographical features as perceived entities given a semantic solidity and manipulated within an ontological framework (for examples and reviews, see Cross and Firat, 2000;Mennis, 2003;Agarwal, 2005).…”
Section: The Nature Of Vernacular Areassupporting
confidence: 56%
See 1 more Smart Citation
“…Much of the subsequent work has focused on sub-and super-State scale regions in the US (for a review, see Shortridge, 1987), though as the examples above show there is also a great richness to be found at the community and small-group level. Plainly such features are a subset of the more general division of cognitive spatial objects and therefore fit well within the current research trend that aims to explain and manipulate all geographical features as perceived entities given a semantic solidity and manipulated within an ontological framework (for examples and reviews, see Cross and Firat, 2000;Mennis, 2003;Agarwal, 2005).…”
Section: The Nature Of Vernacular Areassupporting
confidence: 56%
“…Equally, such attribute information can provide the input into a more formal cognitive/semantic/ontological GIS (for reviews see Mennis, 2003;Cross and Firat, 2000;Agarwal, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…Without baseline test data, it is also difficult to produce error descriptions using alternative, fuzzy models (Altman 1994;Cross and Firat 2000), because this approach also relies on functions to describe error distributions. However, the law of error propagation, using standard errors, as well as fuzzy methods would be useful for determining error contributions for different coordinate sources (maps, gazetteer, and GIS layers, for example) where test data are available.…”
Section: Discussionmentioning
confidence: 99%
“…Recent efforts have been paid on the establishment of consistent framework for a fuzzy object-oriented model based on the standard for the object data management Ž . 25,26 group ODMG object data model. The design of fuzzy relational databases with the fuzzy ER model 2 has been investigated in Ref.…”
Section: Related Workmentioning
confidence: 99%