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Realization of the Multi-Factor Combined Information Value Model in the Spatial Prediction of Landslides
Abstract:
Information value model simplify the total information of evaluation unit down to sum of each factor, what may influence the prediction accuracy when factors are strongly correlated . Thus, its better to select the original modelthe multi-factor combined information value model, which directly calculate the information of factors-combination. However, the calculation is hard to realize due to the large number of combinations. In this paper, we propose a method that can quickly calculate the information. Taking Badong area for example, selecting slope, aspect, lithology, distance to drainage system and distance to road as influence factors, constructed the ideal information value model and the multi-factor combined information value model respectively. We found that the former model accuracy is 71.1%, with the latter is 80.3%. The result proved that the correlation between factors may have great influence, and showed the multi-factor combined information value model is better in a way.
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3163-3170
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Online since:
August 2013
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© 2013 Trans Tech Publications Ltd. All Rights Reserved
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