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The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Chen, Jun

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS", Bangkok, May 23-25, 2001
ISPRS, Vol.34,
out spatial relation represent some constrains among spatial
relations. Obviously, ordering information is less constraining
than metric information. It may be less clear though, that
ordering information yields stronger constraints than topological
information (Christoph Schieder, 1995). At present the
formalization description and reasoning model of spatial relation
lack the integrated consideration of these three kind of spatial
relations. Combine these three spatial relations together,
analysis the potential influence among each other, and build an
integrated description and reasoning model of them, it will
enhance the uniqueness of spatial description and the accuracy
of spatial reasoning. The discussion in section 3 and 4 show that
the integrated description and reasoning of topological, direction
and distance will bring manful results.
Direction is an important spatial relation. Because of the different
need in small-scale space and large-scale space, direction
relations need to be described at different levels of detail. In this
paper we propose a three level hierarchical qualitative direction
description model and present a unified topological
representation of spatial objects for directions. In different level it
should build different description and reasoning models, these
models combine and complement each other. In this way,
direction relation description is extended.
[ljPeuquet D.J. and Zhan. Ci-Xiang. An Algorithm to Determine
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[2] Frank Andrew U. Qualitative spatial reasoning about
distances and directions in geographic spacefJ], J. of Visual
Languages and Computing, 1992,3(4): 343-371.
[3] Frank Andrew U. Qualitative spatial reasoning: cardinal
directions as an example[J], INT.J. Geographical Information
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[4] Papadias Dimitris, and Theodoridis Yannis. Spatial relations,
minimum bounding rectangles and spatial data structuresfj], INT.
J. Geographical Information Systems, 1997,11(2): 111-138.
[5] Papadias Dimitris and Sellis T. A Pictorial Query-by-Example
Language[J], Journal of Visual Languages and Computing, 1995,
6(1): 53-72.
[6] Shekhar Shashi, Liu Xuan and Chawla Sanjay. An Object
Model of Direction and Its Implications. Geolnformatica 1999,
3(4): 357-379
[7] GOYAL Roop K, and Egenhofer M. J. Cardinal Directions
between Extended Spatial Objects. IEEE Transactions on
Knowledge and Data Engineering, (in press). [EB/OL],
http://www.spatial.maine.edu/~max/pubs.html. 1999-10-12
[8] GOYAL Roop K, and Egenhofer M. J. Consistent Queries
over Cardinal Directions across Different Levels of Detail. 11th
International Workshop on Database and Expert Systems
Applications, Greenwich, U.K. A M. Tjoa, R. Wagner, and A.
Al-Zobaidie (eds ), pp. 876-880, September 2000.
L9]Egenhofer M. J. Pre-processing Queries with Spatial
Constrains[J], Photogrammtric Engineering & Remote Sensing
1994, 60(6): 783-970.
[10]Schlieder Christoph. Reasoning about Ordering[A], Andrew
U. Frank and Werner Kuhn. A Theoretical Basis for GIS
International Conference COSIT’95 Semmering (Lecture Notes
in Computer Science 988) [C], Berlin: Springer-Verlag, 1995
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