Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

  • Yanli Wu
  • , Yutian Ke
  • , Zhuo Chen
  • , Shouyun Liang
  • , Hongliang Zhao
  • , Haoyuan Hong

Publications: Contribution to journalArticlePeer Reviewed

Original languageEnglish
Article number104396
Number of pages17
JournalCATENA
Volume187
DOIs
Publication statusPublished - Apr 2020

Funding

We are very thankful to Victor Jetten, editor of the CATENA journal and two anonymous reviewers for their valuable comments and suggestions to improve the quality of our paper. This study was supported by National Basic Research Program of China (973 Program, No. 2014CB744701), the National Natural Science Foundation of China (No. 41072213). The authors acknowledge the PhD scholarship awarded to Yutian Ke (No. 201706180008) and Haoyuan Hong (NO. 201906860029) by the China Scholarship Council.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Austrian Fields of Science 2012

  • 507011 Spatial research

Keywords

  • Landslides
  • Ensemble model
  • Alternating decision tree
  • Bagging
  • AdaBoost
  • Spatial Analysis
  • ANALYTICAL HIERARCHY PROCESS
  • WEIGHTED LINEAR COMBINATION
  • LOGISTIC-REGRESSION MODELS
  • SPATIAL PREDICTION
  • FREQUENCY RATIO
  • CERTAINTY FACTOR
  • RANDOM FOREST
  • HYBRID INTEGRATION
  • LOESS LANDSLIDES
  • GIS

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