Modelling uncertainty in natural resource analysis using fuzzy sets and monte carlo simulation: Slope stability prediction

International Journal of Geographical Information Science

Volumn 11, Issue 5, 1997, Pages 409-434

  Davis, Trevor J ^a   Keller, C Peter ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEM; FUZZY LOGIC; GIS; MONTE CARLO METHOD; NATURAL RESOURCES; RESOURCE ANALYSIS; SLOPE STABILITY;

CANADA, BRITISH COLUMBIA, LOUISE ISLAND;

EID: 0031463614     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/136588197242239     Document Type: Article

References (5)

1. Bregt, A. K., Bouma, J., and Jellinek, M., 1987. Comparison of thematic maps derived from a soil map, and from kriging of point data. Geoderma, 39:281–291.
2. Blakemore, M., 1983. Generalization, and error in spatial databases. Cartographica, 21:131–139.
3. Aspinall, R. J., and Pearson, D. M., 1996. “ Data quality and spatial analysis:analytical use of GIS for ecological modeling ”. In GIS, and Environmental Modelling:Progress, and Research Issues, Edited by:Goodchild, M. F., Steyment, L. T., Perks, B. O., Johnston, D., Maidment, M. Crane, and Glendinning, S., 35–38. Fort Collins:GIS World.
4. Burrough, P. A., 1989. Fuzzy mathematical methods for soil survey, and land evaluation. Journal of Soil Science, 40:477–492.
5. Altman, D., 1994. Fuzzy set theoretic approaches for handling imprecision in spatial analysis. International Journal of Geographic Information Systems, 8:271–289.