A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network
复制标题
使用逻辑回归、频率比、决策树、证据权重和人工神经网络对滑坡敏感性图进行比较研究
DOI：
10.1007/s12303-015-0026-1
复制
发表时间：
2016-02
影响因子：
1.2
通讯作者：
林杰
中科院分区：
文献类型：
--
作者：
林杰
为了比较日本水上市的滑坡易感性测绘方法，将滑坡清单划分为三组，作为各种训练和测试数据集，以确定最合适的方法来创建滑坡易感性地图。采用频数比法、Logistic回归法、决策树法、证据权重法和人工神经网络法建立了15张滑坡易感性图，并利用现有的试验边坡点和相对运行特征曲线(AUC)下的面积对结果进行了评价。验证结果表明，Logistic回归模型可以提供最高的AUC值(0.865)，且本研究中较高比例的滑坡点落入高和极高滑坡易感级别。此外，本文还建议采用适当的滑坡点进行计算，可以提高模型的性能。
For the purpose of comparing susceptibility mapping methods in Mizunami City, Japan, the landslide inventory was partitioned into three groups as various training and test datasets to identify the most appropriate method for creating a landslide susceptibility map. A total of fifteen landslide susceptibility maps were produced using frequency ratio, logistic regression, decision tree, weights of evidence and artificial neural network models, and the results were assessed using existing test landside points and areas under the relative operative characteristic curve (AUC). The validation results indicated that the logistic regression model could provide the highest AUC value (0.865), and a relatively high percentage of landslide points fell in the high and very high landslide susceptibility classes in this study. Furthermore, the paper also suggested that the model performances would be increased if appropriate landslide points were used for the calculation.
登录
查看更多内容
影响因子：
7.4
作者：
A. Nandi;A. Shakoor
通讯作者：
A. Nandi;A. Shakoor
影响因子：
3.9
作者：
N. Regmi;J. Giardino;J. Vitek
通讯作者：
N. Regmi;J. Giardino;J. Vitek
DOI：
10.1016/j.catena.2011.01.014
发表时间：
2011-06
期刊：
Fuel and Energy Abstracts
影响因子：
--
作者：
A. Yalçın;Sally M. Reis;A. C. Aydinoglu;T. Yomralioglu
通讯作者：
A. Yalçın;Sally M. Reis;A. C. Aydinoglu;T. Yomralioglu
影响因子：
3.9
作者：
Das, Iswar;Sahoo, Sashikant;Hack, Robert
通讯作者：
Hack, Robert
DOI：
10.1016/j.cageo.2010.04.004
发表时间：
2010-09
期刊：
Comput. Geosci.
影响因子：
--
作者：
Mohammad H. Vahidnia;A. Alesheikh;A. Alimohammadi;F. Hosseinali
通讯作者：
Mohammad H. Vahidnia;A. Alesheikh;A. Alimohammadi;F. Hosseinali