Spatial modelling of gully erosion using Evidential Belief Function, Logistic Regression and a new ensemble EBF-LR algorithm,Land Degradation & Development

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Spatial modelling of gully erosion using Evidential Belief Function, Logistic Regression and a new ensemble EBF-LR algorithm
Land Degradation & Development ( IF 3.6 ) Pub Date : 2018-09-25 , DOI: 10.1002/ldr.3151
Alireza Arabameri ₁ , Biswajeet Pradhan _{2,

3} , Khalil Rezaei ₄ , Mojtaba Yamani ₅ , Hamid Reza Pourghasemi ₆ , Luigi Lombardo ₇

Affiliation

Department of Geomorphology, Tarbiat Modares University, Tehran, Iran Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, NSW, Sydney, Australia Department of Energy and Mineral Resources Engineering, Choongmu‐gwan, Sejong University, Seoul, Republic of Korea Faculty of Earth Sciences, Kharazmi University, Tehran, Iran Department of Geomorphology, Tehran University, Tehran, Iran Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran CEMSE Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia Correspondence Biswajeet Pradhan, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, 2007 NSW, Sydney, Australia. Email: biswajeet24@gmail.com; biswajeet.pradhan@uts.edu.au Funding information University of Technology Sydney, Grant/ Award Number: 321740.2232335 and 321740.2232357

中文翻译：

使用证据置信函数、逻辑回归和新的集成 EBF-LR 算法对沟渠侵蚀进行空间建模

悉尼，澳大利亚。邮箱：biswajeet24@gmail.com；biswajeet.pradhan@uts.edu.au 资助信息悉尼科技大学，资助/奖励编号：321740.2232335 和 321740.2232357

更新日期：2018-09-25

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