CGRG Bibliography of Canadian Geomorphology
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Author : Davis, T.J.; and Keller, C.P.
Date : 1997
Title : Modelling uncertainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: slope stability prediction.
Publication : International Journal of Geographical Information Science
Issue : 11(5):
Page(s) : 409-434.
Abstract
The techniques of fuzzy logic and Monte Carlo simulation are combined to address tow incompatible types of uncertainty present in most natural resource data: thematic classification uncertainty and variance in unclassified continuously distributed data. The resultant model of uncertainty is applied to an infinite slope stability model using data from Louise Island, British Columbia. Results are summarized so as to answer forestry decision support queries. The proposed model of uncertainty in resource data analysis is found to have utility in combining different types of uncertainty, and efficiently utilizing available metadata. Integration of uncertainty data models with visualization tools is considered a necessary prerequisite to effective implementation in decision support systems.
Bibliography of Canadian Geomorphology