Spatial prediction of landslide hazard using discriminant analysis and GIS
Gorsevski P.V.; Gessler, P.E.; Foltz, R.B. 2000.
Spatial Prediction of Landslide Hazard using Discriminant Analysis and GIS.
GIS in the Rockies 2000 Conference and Workshop: Applications for the 21st Century,
September 25-27, 2000, Denver, Colorado. 10 p.
Keywords: Landslides, Landslide Hazard, Slope Stability, Geographic Information System, Spatial Prediction, Multivariate Models, Discriminant Analysis
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Abstract:
Environmental attributes relevant for spatial prediction of landslides triggered by rain and
snowmelt events were derived from a digital elevation model (DEM). Those data in conjunction
with statistics and a geographic information system (GIS) provided a detailed basis for spatial
prediction of landslide hazard. The spatial prediction of landslide hazard in this paper is based on
discriminant analysis. Discriminant analysis is a multivariate technique that can be used to build
rules that can classify elements or observations successfully between stable and unstable
areas. The discriminant rule would show how to take into account the relative risks of making
errors of misclassification. Those general rules allow managers to consider that errors in one
direction may be much more costly than errors in the other direction.
Moscow FSL publication no. 2000k
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