Trevor J. Davis and C. Peter Keller.
Modelling and Visualizing Multiple Spatial Uncertainties.
In Computers & Geosciences, vol. 23, no. 4, pp. 397--408, 1997.

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Abstract:

This paper presents the results of research into the modelling and visualization of multiple types of uncertainty - each exhibiting distinct spatial characteristics. Slope stability modelling is utilized as a vehicle to bring together uncertainties in categorical spatial data and continuous spatial data. A variety of static visualization methods are discussed, as well as the implications of using an interactive animated display to explore multiple realizations of a continuous surface. The results indicate that careful definitions of allowable uncertainty, and the implications thereof, are required to calibrate an interactive animation that will be utilized by non-specialists. It is argued that this holds particularly true in the situation of risk management decisions.

Bibtex:

@Article{        davis:1997:MVMS,
  author = 	 {Trevor J. Davis and C. Peter Keller},
  title = 	 {Modelling and Visualizing Multiple Spatial Uncertainties},
  journal = 	 {Computers \& Geosciences},
  year = 	 {1997},
  volume = 	 {23},
  number = 	 {4},
  pages = 	 {397--408},
  month = 	 {May},
}

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References:


Beard, M. K., and Buttenfield, B. P., eds., 1991, NCGIA research initiative 7: visualization of spatial data quality. NCGIA Technical Paper 91-26, variously paged.
Bertin, J., 1981,Graphics and graphic information processing: Walter de Gruyter, Berlin, 273 p.
Blakemore, M., 1983, Generalization and error in spatial databases: Cartographica, v. 21, no. 2/3, p. 131-139.
Burrough, P. A., 1989, Fuzzy mathematical methods for soil survey and land evaluation: Jour. Soil Science, v. 40, no. 3, p. 417492.
Burrough, P. A., MacMillan, R. A., and VanDeursen, W., 1992, Fuzzy classification methods for determining land suitability from soil profile observations and topo- graphy: Jour. Soil Science, v. 43, no. 2, p. 193-210.
Buttenfield, B. P., and Beard, M. K., 1994, Graphical and geographical components of data quality, in Hearnshaw, H. M., and Unwin, D. J., eds., Visualization in Geographical Information Systems: John Wiley & Sons, New York, p. 150-157.
Chrisman, N. R., 1982, A theory of cartographic error and its measurement in digital databases: Proceedings, Fifth International Symposium on Computer-Assisted Cartography. AUTO-CART0 8, Falls Church, Virginia, p. 159-168.
Chrisman, N. R., 1989, Modelhng error in overlaid categ- orical maps, in Goodchild, M., and Gopal, S., eds., The Accuracy Of Spatial Databases: Taylor & Francis, London, p. 21-34.
Chrisman, N. R., 1991, The error component of spatial data, in Maguire, D. J., Goodchild, M. F., and Rhind, D. W ., eds., Geographical Information Systems: Principles and Applications, Vol. 1: Longman Scientific and Technical, Harlow, U. K., p. 165-174.
Cohen, M. S., Watson, S. R., and Barrett, E., 1985, Alternative theories of inference in expert systems for image analysis: US Army Corps of Engineers, Rept. ETL-0382, 52 p.
Couclelis, H., 1991, There is nothing as theoretical as good practice: Environment and Planning B: Planning and Design, v. 18, no. 4, p. 379-384.
Davis, T. J., 1994, Modelling and visualizing spatial uncer- tainty using fuzzy logic and Monte Carlo simulation: Unnubl. Masters Thesis. Univ. Victoria, Victoria. Briiish Columbia, Canada; 135 p.
Davis, T. J., and Keller, C. P., 1997, Modelling uncer- tainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: slope stability prediction: Intern. Jour. Geographical Information Systems, in press.
DiBiase, D., MacEachren, A. M., Krygier, J. B., and Reeves, C., 1992, Animation and the role of map design in scientific visualization: Cartography and Geographic Information Systems, v. 19, no. 4, p. 201- 214.
Ehlschlaeger, C. R., and Goodchild, M. F., 1994, Uncertainty in spatial data: defining, visualizing and managing data errors: Proceedings GIS/LIS '94, Phoenix, Arizona, p. 245-252.
Evans, B. J., 1997, Dynamic display of spatial data reliability: does it benefit the map user?: Computers & Geosciences, v. 23, no. 4, p. 409-422, (this issue).
Fisher, P. F., 1991, Modeling and visualizing uncertainty in GIS, in Beard, M. K., and Buttenfield, B. P ., NCGIA Research Initiative 7: Visualization of Spatial Data Quality: NCGIA Technical Paper 91-26, p. C63- c70.
Fisher, P. F., 1992, Real-time randomization for the visualization of uncertain spatial information, in Bresnahan, P., Corwin, E., and Cowen, D., eds., Proceedings of the Fifth International Symposium on Spatial Data Handling: Charleston, South- Carolina, p. 491-495.
Fisher, P. F., 1993, Visualizing uncertainty in soil maps by animation: Cartographica, v. 30, no. 2/3, p. 20-29.
Fisher, P. F., 1994a, Animation and sound for the visual- ization of uncertain spatial information, in Hearnshaw, H. M., and Unwin, D. J., eds., Visualization in Geographical Information Systems: John Wiley & Sons, New York, p. 181-185.
Fisher, P. F., 1994b, Probable and fuzzy models of the viewshed operation, in Worboys, M. F., ed., Innovations in GIS. Vol. 1: Tavlor & Francis. London. p. 161-176.
Goodchild, M. F., Buttenfield, B., and Wood, J., 1994. Introduction to visualizing data validity, in Hearnshaw, H. M., and Unwin, D. J., eds., Visualization in Geographical Information Systems: John Wiley & Sons, New York, p. 141-149.
Goodchild, M. F., Chih-Chang, L., and Leung, Y., 1994, Visualizing fuzzy maps, in Hearnshaw, H. M., and Unwin, D. J., eds., Visualization in Geographical Information Systems. John Wiley & Sons, New York, p. 158-167.
Guptill, S. C., and Morrison, J. L., 1995, Elements of spatial data quality: Elsevier, Amsterdam, 202 p.
Hammond, C., Hall, D.. Miller, S., and Swetik, P., 1992, Level I stability analysis (LISA) documentation: Intermountain Research Station, General Tech. Report INT-285: United States Forest Service, Department of Agriculture, Ogden, IJtah, 120 p.
Hearnshaw, H. M., and Unwin, D. J., eds.. 1994, Visualization in geographical information systems: John Wiley & Sons, New York, 241 p.
Heuvelink, G. B. M., and Burrough, P. A., 1993, Error propagation in cartographic modelling using Boolean logic and continuous classification: Intern. Jour. Geographical Information Systems, v. 7, no. 3, p. 231- 246.
Keller, C. P., 1994, Exploratory spatial data analysis (ESDA) - the next revolution in GIS, in So, Now What?: Proc. 1994 International Symposium on GIS: Vancouver, Canada, p. 298-302.
Kollias, V . J., and V oliotis, A., 1991, Fuzzy reasoning in the development of geographical information systems. FRSIS: prototype soil information system with fuzzy retrieval capabilities: Intern. Jour. Geographical Information Systems, v. 5, no. 2, p. 209-223.
Lowell, K. E., 1993, Initial studies on the quantification and representation of uncertainty in forestry data, in Proc. GIS '93 Symposium, Vancouver, Canada, p. 791-796.
MacEachren, A. M., 1992, Visualizing uncertain information: Cartographic Perspectives, v. 13, p. 10-19. MacEachren, A. M., 1994, Time as a cartographic variable, in Hearnshaw, H. M., and Unwin, D. J., eds., Visualization in Geographical Information Systems: John Wiley & Sons, New York, 115-130.
MacEachren, A. M., and Monmonier, M., 1992, Introduction to special content: geographic visualiz- ation: Cartography and Geographic Information Systems, v. 19, no. 4, p. 197-200.
Mark, D. M., and Csillag, F., 1989, The nature of boundaries on "area-class" maps: Cartographica, v. 26, no. 1, p. 65-77.
Mendoza, G. A., and Sprouse, W., 1989, Forest planning and decision making under fuzzy environments: an overview and illustration: Forest Science, v. 35, no. 2, p. 481-502.
Openshaw, S., 1989, Learning to live with errors in spatial databases, in Goodchild, M., and Gopal, S., eds., The Accuracy Of Spatial Databases: T aylor & Francis, London, p. 263-279.
Perkal, J., 1966, An attempt at objective generalization: Geodezia es Kartografia, v. 7, no. 2, p. 130-142.
Robinson, V. B., 1988, Some implications of fuzzy set theory applied to geographic databases: Computers, Environment and Urban Systems, v. 12, no. 1, p. 89- 98.
SRMB, 1990, British Columbia specifications and guidelines for geomatics, content series, volume 3: Survey and Resource Mapping Branch, Victoria, British van der Wel, F. J. M., Hootsman, R. M., and Ormeling, F. Columbia, Canada, 210 p.
Stoms, D., 1987, Reasoning with uncertainty in intelligent geographic information systems: Proc. GIS'87, Second Annual International Conference, San Francisco, p. 693-700.