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Cited by 94

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Modelling uncertainty in natural resource analysis using fuzzy sets and Monte Carlo simulation: slope stability prediction

DAVIS, TREVOR J., KELLER, C. PETER·1997·International Journal of Geographical Information Science
DOI 10.1080/136588197242239
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Abstract

The techniques of fuzzy logic and Monte Carlo simulation are combined to address two 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.

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Crossref · 10.1080/136588197242239

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  • Monte Carlo simulation has been used extensively for modelling DEM uncertainty in viewshed analysis, flooding, and slope failure prediction.

    “Monte Carlo simulation has been used extensively for the modelling of DEM uncertainty in viewshed analysis (e.g.Fisher, 1991Fisher, , 1992;;Nackaerts et al., 1999), flooding (e.g.Cooper et al., 2015;Gesch, 2018;Gesch et al., 2020;Hawker et al., 2018;Leon et al., 2014) and slope failure prediction (e.g.Davis & Keller, 1997;Holmes et al., 2000;Zhou et al., 2003).”

    From Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study (2021) · cites this paper as Davis & Keller, 1997

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Research works printed but not linked: 5

  1. 10.1016/0016-7061(87)90048-6 · DOI
  2. 10.3138/1005-13MG-2627-2552 · DOI
  3. Aspinall R. J., 1996, GIS, and Environmental Modelling: Progress, and Research Issues, 35
  4. 10.1111/j.1365-2389.1989.tb01290.x · DOI · Paper page
  5. 10.1080/02693799408902000 · DOI

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Metadata

Authors
DAVIS, T. J., & KELLER, C. P.
Venue
International Journal of Geographical Information Science
Publisher
Informa UK Limited
Published
1997-07
Volume
11
Issue
5
Pages
409-434
ISSN
  • 1365-8816
  • 1362-3087
DOI
10.1080/136588197242239
Cited by
94
References
0
Language
en

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