Fuzzy representation of geographical boundaries in GIS

International Journal of Geographical Information Systems

Volumn 10, Issue 5, 1996, Pages 573-590

  Wang, Fangju ^a   Brent Hall, G ^b  

^a UNIVERSITY OF GUELPH   (Canada)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL PHENOMENA; FUZZY REPRESENTATION; GEOGRAPHICAL BOUNDARY; POLYGON; VECTOR BOUNDARY;

EID: 0030456153     PISSN: 02693798     EISSN: None     Source Type: Journal    
DOI: 10.1080/02693799608902098     Document Type: Article

References (28)

1. ARONOFF, S., 1989, Geographic Information Systems: A Management Perspective (Ottawa: WDL Publications).
2. BALDWIN, J. F., and ZHOU, S. Q., 1984, A fuzzy relational inference language. Fuzzy Sets and Systems, 14, 155-174.
3. BUCKLES, B. P., and PETRY, F. E., 1982, A fuzzy representation of data for relational databases. Fuzzy Sets and Systems, 7, 213-226.
4. BURROUGH, P. A., 1986, Principles of Geographical Information Systems for Land Resource Assessment (Oxford: Clarenden Press).
5. BURROUGH, P. A., 1989, Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science, 40, 477-492.
6. CAMPBELL, W. G., ROBBINS CHURCH, M., BISHOP, G. D., MORTENSEN, D. C., and PIERSON, S. M., 1989, The role for a geographic information system in a large environmental project. International Journal of Geographic Information Systems, 3, 349-362.
7. CHANG, K., TSAI, BOR-WEN, and SUN, C., 1988, Evaluation of a geographic information system for slopeland management. In Proceedings GIS/LIS Conference, Vol. 1 (Falls Church Virginia: American Society for Photogrammetry and Remote Sensing/ American Congress on Surveying and Mapping), pp. 329-339.
8. CHRISMAN, N. R., 1989, Modelling errors in overlaid categorical maps. In The accuracy of spatial databases, edited by M. Goodchild and S. Gopal (London: Taylor and Francis), pp. 21-34.
9. COLEMAN, A., 1980, Boundaries as a framework for understanding land-use patterns. In Geography and its Boundaries, edited by H. Kishimoto (Zurich: Kummerly and Frey), pp. 45-52.
10. FISHER, P. F., 1989, Knowledge-based approaches to determining and correcting areas of unreliability in geographic databases. In The accuracy of spatial databases, edited by Michael Goodchild and Sucharita Gopal (London: Taylor and Francis), pp. 45-54.
11. HALL, G. B., WANG, F., and SUBARYONO, 1991, Comparison of boolean and fuzzy classification methods in land suitability analysis using GIS. Environment and Planning B, 24, 497-516.
12. HENDRIX, W. G., and PRICE, J. E., 1986, Application of a geographic information system for assessment of site index and forest management constraints. Proceedings of Geographic Information System Workshop (Atlanta: ASPRS), pp. 263-272.
13. HUNTER, G. J., and WILLIAMSON, I. P., 1990, The development of a historical digital cadastral database. International Journal of Geographical Information Systems, 4, 169-180.
14. KOLLIAS, V. J., and VOLIOTIS, A., 1991, Fuzzy reasoning in the development of geographical information systems FRSIS: a prototype soil information system with fuzzy retrieval capabilities. International Journal of Geographical Information Systems, 5, 209-223.
15. LEUNG, Y., 1984, Towards a flexible framework for regionization. Environment and Planning A, 16, 203-215.
16. LEUNG, Y., 1987, On the imprecision of boundaries. Geographical Analysis, 19, 125-151.
17. MARON, M. J., 1987, Numerical analysis a practical approach (2nd edition), (New York, NY: Macmillan Publishing Company).
18. OPENSHAW, S., 1989, Learning to live with errors in spatial databases. In The accuracy of spatial databases, edited by M. Goodchild and S. Gopal (London: Taylor and Francis), pp 263-276.
19. ROBINSON, A. H., 1980, On the human definition of the dry boundaries. In Geography and its Boundaries, edited by H. Kishimoto (Zurich: Kummerly and Frey), pp. 89-98.
20. ROBINSON, V. B., and STRAHLER, A. H., 1984, Issues in designing geographic information systems under conditions of inexactness. Proceedings of 1984 Machine Processing of Remote Sensing Data Symposium, (New York: IEEE), pp. 198-204.
21. ROBINSON, V. B., 1990, Interactive machine acquisition of a fuzzy spatial relation. Computers & Geoscience, 16, 857-864.
22. SMITH, G. S., and SOUZA, D. A., 1986, Direct application of the SOI-5 soil interpretation records to a geographic information system. In Proceedings of Geographic Information System Workshop (Atlanta: ASPRS), pp. 386-395.
23. VINCENT, P., 1991, Modeling binary maps using ARC/INFO and GLIM. In Proceedings of the European Conference on Geographical Information Systems (EGIS '90), (Utrecht: EGIS Foundation), pp. 1108-1116.
24. WALSH, S. J., 1989, User considerations in landscape characterization. In The accuracy of spatial databases, edited by M. Goodchild and S. Gopal (London: Taylor and Francis), pp. 35-44.
25. WANG, F., HALL, G. B., and SUBARYONO, 1990, Fuzzy information representation and processing in conventional GIS software: database design and application. International Journal of Geographical Information Systems, 4, 261-283.
26. WANG, F., and DONAGHY, P., 1995, A study of the impacts of automated editing to polygon overlay analysis accuracy. Computers & Geosciences, 21, 1177-1185.
27. WILLIAMSON, I. P., and HUNTER, G. J., 1991, The role of conceptual modelling in developing a land and geographic information system. Australian Surveyor, 36, 100-110.
28. ZAHEH, L. A., 1965, Fuzzy Sets. Information and Control, 8, 338-353.