Bin Jiang and Ferjan Ormeling and Wolfgang Kainz.
Visualization Support for Fuzzy Spatial Analysis.
In Auto Carto 12, Charlotte, North Carolina, pp. 291--300, 1995.


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Abstract:

Visualization techniques benefit fuzzy spatial analysis in at least two aspects. One is in the field of exploratory analysis, and another is in the representation of uncertainty. This paper intends to discuss the first issue. Fuzzy spatial analysis may be distinguished from conventional analysis in that the former is a form of concept analysis which is closer to natural language and the latter in most cases refers to numerical processing. Due to the fuzzy nature of the analysis approach, suitable visualization techniques to support the analysis process are highly needed. In this paper, the fundamentals of fuzzy spatial analysis are outlined and consecutively, the visualization tools supporting the exploration process are focused on. Finally, an approach towards a complete system framework for exploration is presented using some advanced techniques such as the object-oriented system building approach, Graphical User Interfaces (GUI) and hypertext techniques.

Bibtex:

@InProceedings{  jiang:1995:VSFA,
  author = 	 {Bin Jiang and Ferjan Ormeling and Wolfgang Kainz},
  title = 	 {Visualization Support for Fuzzy Spatial Analysis},
  booktitle =    {Auto Carto 12, Charlotte, North Carolina},
  pages = 	 {291--300},
  year = 	 {1995},
}

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References:


Goodchild, M. F. (1987). A Spatial Analysis Perspective on Geographical Information Systems, Int. J. Geographical Information System, Vol. 1, pp. 327-334.
Jiang, B. and Kainz, W., (1994). Fuzzification as a Basis for Fuzzy Spatial Analysis. Proceedings ofIAI'94, Wuhan, P.R. China, pp. 294-302.
Jiang, B., Kainz, W., and Muller, J. C. (1995). Fuzzy Overlay Model -- Overlay Operation Incorporated with Linguistic Notions, to be published.
Leung, Y. (1984). Fuzzy Sets Approach to Spatial Analysis and Planning - A Nontechnical Evaluation (Occasional Paper), The Chinese University of Hong Kong.
MacEachren, A. M. and Monmonier, M. (1992). Introduction, Special Issue of Cartography and Geographic Information Systems, Vol. 19, No. 4, pp. 197-200.
Monmonier, M. (1990). Summary graphics for Integrated Visualization in Dynamic Cartography, Cartography and Geographic Information Systems, Vol. 19, No. 1, pp. 23-26
Olson, J. M. (1987). Color and the Computer in Cartography, In: Durrett H. J. (ed.) Color and the Computer, Academic Press Inc., pp. 205-219.
Openshaw, S. (1990). Spatial Analysis and Geographical Information Systems: a Review of Progress and Possibility, In: Scholten H.J., and Stillwell J.C.H. (eds.) Geographical Information System for Urban and Regional Planning, Kluwer Academic Publishers, pp. 153-163.
Strand, E. J. (1993). Model-View-Controller Architecture Expedites Embedded Application, CIS World, Oct. 1993, pp. 20-21.
Tang, Q. (1992). A Personal Visualization System for Visual Analysis of Area-based Spatial Data, Proceedings ofGIS/LJS'92, pp. 767-776.
Tukey, J. W. (1977). Exploratory Data Analysis, Addison-Wesley.
Van der Wel, F. J. M., Hootsmans, R. M. and Ormeling, F. J. (1994). Visualization of Data Quality. In: MacEachren A. M. and Taylor D. R. F. (eds.) Visualization in Modern Cartography, Pergamon Press, pp. 313-331.
Xia, F. F. and Fotheringham, A. S. (1993). Exploratory Spatial Data Analysis with GIS - - The Development of the ESDA Module Under ARC/INFO, Proceedings of GIS/LIS'93, pp. 801-810.
Zadeh, L. A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Process, IEEE Trans. System, Man, and Cybernetics, SMC-3, pp. 28-44.