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Geo-spatial Information Science
Article . 2003 . Peer-reviewed
Data sources: Crossref
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Geo-spatial Information Science
Article
License: CC BY NC
Data sources: UnpayWall
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Spatial relation resolution and spatial relation abstraction

Authors: Al Tinghua; Liu Yaolin;

Spatial relation resolution and spatial relation abstraction

Abstract

This paper attempts to regard spatial relation transformation as an important process in map generalization. The spatial relation generalization can be divided into the components of abstraction: topology, disttance and orientation. The concept ‘spatial relation resolution’ is introduced to describe the constraints of relative spatial relation. On the basis of nine intersection models, the cardinal direction models and the iso-distance-relation models, this paper gives three sorts of relation resolution representations for topological, distance and orientation relation, respectively. Two mapping implementations in map generalization is discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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