Systematic sample subdividing strategy for training landslide susceptibility models

CATENA(2020)

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摘要
•A systematic subdividing method for landslide inventory data is presented.•Subdividing strategy is important especially when the data varies in distribution.•IIC, a technique developed in this research.•IIC enables measurement complexity of inventory datasets.•KNN, SVM and DT used to test the superiority of the new sample subdividing method.
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关键词
Landslide modelling,Sampling strategy,GIS,Hellinger distance,Outlier detection
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