Spatio-temporal interpolation and fuzzy logic for GIS simulation of rural-to-urban transition

Cartography and Geographic Information Science

Volumn 26, Issue 2, 1999, Pages 125-138

  Dragicevic, Suzana ^a   Marceau, Danielle J ^b  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY MATHEMATICS; SPATIOTEMPORAL ANALYSIS; URBANIZATION;

CANADA; QUEBEC;

EID: 0033451008     PISSN: 15230406     EISSN: None     Source Type: Journal    
DOI: 10.1559/152304099782330707     Document Type: Article

References (48)

1. Acevedo, W., and P. Masuoka. 1997. Time-series animation techniques for visualizing urban growth. Computers & Geosciences 4: 423-35.
2. Acevedo, W., T.W. Foresman, and J. T. Buchanan. 1996. Origins and philosophy of building a temporal database to examine human transformation processes. In: Proceedings of ASPRS/ACSM Annual Convention and Exhibition, Baltimore, Maryland, 22-24 Apri. Vo. 1, pp. 148-61.
3. Allen, P. M. 1997. Cities and regions as evolutionary, complex systems. Geographical Systems 4:103-30.
4. Altman, D. 1994. Fuzzy set theoretic approaches for handling imprecision in spatial analysis. International Journal of Geographical Information Systems 3: 271-89.
5. Banai, R. 1993. Fuzziness in geographical information systems: Contributions from the analytic hierarchy process. International Journal of Geographical Information Systems 4: 315-29.
6. Batty, M., and Y. Xie. 1994. From cells to cities. Environment and Planning B: Planning and Design 21: 531-548.
7. Bell, C., W. Acevedo, and J. T. Buchanan. 1995. Dynamic mapping of urban regions: Growth of the San Francisco/Sacramento region. In: Proceedings of Urban and Regional Information Systems Association, San Antonio, Texas, pp. 723-734.
8. Bezdek, J. C. 1981. Pattern recognition with fuzzy objective functions. New York, New York: Plenum Press).
9. Burrough, P. A. 1989. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 40: 477-92.
10. Burrough, P. A., R. A. MacMillan, and W. van Deursen. 1992. Fuzzy classification methods for determining land suitability from soil profile observations and topography. Journal of Soil Science 43: 193-210.
11. Cannon, R. L., J. V. Dave, J. C. Bezdek, and M. M. Trivedi. 1986. Segmentation of a Thematic Mapper images using the fuzzy c-means clustering algorithm. IEEE Transactions on Geoscience and Remote Sensing 3: 400-8.
12. Clarke, K.C., S. Hoppen, and L. Gaydos. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design 24: 247-67.
13. Crawford-Tilley, J.S., W. Acevedo, T. Foresman, and W. Prince. 1996. Developing a temporal database of urban development for the Baltimore/Washington region. In: Proceedings of ASPRS/ACSM Annual Convention and Exhibition, Baltimore, Maryland, 22-24 April. Vol. 3, pp. 101-10.
14. Davidson, D. A., S. P. Theocharopoulos, and R. J. Bloksma. 1994. A land evaluation project in Greece using GIS and based on Boolean and fuzzy set methodologies. International Journal of Geographical Information Systems 4: 369-84.
15. Davis, J.T., and P. C. Keller. 1997. Modelling uncertainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: Slope stability prediction. International Journal of Geographical Information Science 5: 409-34.
16. Dawson, T. P., and C. B. Jones. 1995. Representing and analyzing fuzzy natural features in geographical information systems. In: Proceedings of GIS'95, Vancouver, Canada, March 27-30. pp. 423-8.
17. Dragicevic, S., and D. J. Marceau. 1997. Fuzzy logic in spatio-temporal GIS database. In: Proceedings of Annual Conference GIS/LIS'97. Cincinnati, Ohio, October 28-30.
18. Fisher, P. F. 1994. Probable and fuzzy models of the viewshed operation. In: Worboys, M. B. (ed.), Innovations in GIS. Taylor and Francis, UK.
19. Foody, G. M. 1996. Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data. International Journal of Remote Sensing 7: 1317-40.
20. Hall, G. B., F. Wang, and Subaryono. 1992. Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems. Environment and Planning A 24: 497-516.
21. Hootsmans, R. M. 1996. Fuzzy sets and series analysis for visual decision support in spatial data exploration. Netherlands Geographical Studies 202. Univeriteit Utrecht, The Netherlands. 168 p.
22. Isaaks, E. H., and R. M. Srivastava. 1989. Applied geostatistics. Oxford, U.K.: Oxford University Press.
23. Jeansoulin, R., Y. Fonyaine, and F. Werner. 1981. Multitemporal segmentation by means of fuzzy sets. Proceedings of the Symposium on Machine Processing of Remotely Sensed Data. pp. 336-9.
24. Kent, J. T., and K. V. Mardia. 1988. Spatial classification using fuzzy membership models. IEEE Transactions on Pattern Analysis and Machine Intelligence 10: 659-71.
25. Kollias, V. J., and A Voliotis. F1991. uzzy reasoning in the development of geographical information systems FRSIS: A prototype soil information system with fuzzy retrieval capabilities. International Journal of Geographical Information Systems 2: 209-23.
26. Lam, N. S. 1983. Spatial interpolation methods: A review. The American Cartographer 2: 129-49.
27. Landis, J. D. 1994. The California urban futures model: A new generation of metropolitan simulation models. Environment and Planning B: Planning and Design 21: 399-420.
28. Lowell, K. 1994. A fuzzy surface cartographic representation for forestry based on Voronoi diagram area stealing. Canadian Journal of Forest Research 9: 1970-80.
29. Mark, D. M., and F. Csillag. 1989. The nature of boundaries on 'Area-Class' maps. Cartographica 1: 65-78.
30. McBratney, A. B., and A. W. Moore. 1985. Application of fuzzy sets to climatic classification. Agricultural and Forest Meteorology 35: 165-85.
31. Méaille, R., and L. Wald. 1990. Using geographical information system and satellite imagery within a numerical simulation of regional urban growth. International Journal of Geographical Information Systems 4: 445-56.
32. Mendoza, G. A., and W. Sprouse. 1989. Forest planning and decision making fuzzy environments: an overview, and illustrations. Forest Science 35: 481-502.
33. Peuquet, D.J. 1984. A conceptual framework and comparison of spatial data models. Cartographica 4: 66-113.
34. Robeson, S.M. 1997. Spherical methods for spatial interpolation: Review and evaluation. Cartography and Geographic Information Systems 1: 3-20.
35. Robinson, V. B. 1988. Some implications of fuzzy set theory applied to geographic databases. Computers, Environment and Urban Systems 12: 89-97.
36. Smith, P. N. 1992. Fuzzy evaluation of land-use and transportation options. Environment and Planning B: Planning and Design 19: 525-44.
37. Sui, D. Z. 1992. A fuzzy GIS modeling approach for urban land evaluation. Computers, Environment and Urban Systems 16: 101-15.
38. U. S. ARMY CERL. 1993. GRASS4.1 User's Manual.
39. Wang, F., B. G. Hall, and Subaryono.1990. Fuzzy information representation and processing in conventional GIS software: Database design and application. International Journal of Geographical Information Systems 3: 261-83.
40. Wang, F. 1990a. Improving remote sensing image analysis through fuzzy information representation. Photogrammetric Engineering and Remote Sensing 8: 1163-9.
41. Wang, F. 1990b. Fuzzy supervised classification of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing 28: 194-201.
42. Wang, F. 1994. Towards a natural language user interface: an approach of fuzzy query. International Journal of Geographical Information Systems 2: 143-62.
43. Wang, F., and B. G. Hall. 1996. Fuzzy representation of geographical boundaries in GIS. International Journal of Geographical Information Systems 5: 573-90.
44. Xiang, W.N., M. Gross, G. J. Fabos, and E. B. MacDougall. 1992. A fuzzy-group multicriteria decision making model and its application to land-use planning. Environment and Planning B: Planning and Design 19: 61-84.
45. Zadeh, L. A. 1965. Fuzzy sets. Information and Control 8: 338-53.
46. Zadeh, L. A. 1972. A fuzzy set theoretic interpretation on linguistic hedges. Journal of Cybernetics 2: 4-34.
47. Zadeh, L. A. 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1: 3-28.
48. Zhu, A. X. 1997. Measuring uncertainty in class assignment for natural resource maps under fuzzy logic. Photogrammetric Engineering and Remote Sensing 10: 1195-1202.