Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping Article

Shirzadi, Ataollah, Soliamani, Karim, Habibnejhad, Mahmood et al. (2018). Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping . 18(11), 10.3390/s18113777

Open Access International Collaboration

cited authors

  • Shirzadi, Ataollah; Soliamani, Karim; Habibnejhad, Mahmood; Kavian, Ataollah; Chapi, Kamran; Shahabi, Himan; Chen, Wei; Khosravi, Khabat; Binh, Thai Pham; Pradhan, Biswajeet; Ahmad, Anuar; Bin Ahmad, Baharin; Dieu, Tien Bui

sustainable development goals

authors

publication date

  • November 1, 2018

webpage

keywords

  • ARTIFICIAL-INTELLIGENCE APPROACH
  • CLASSIFIER ENSEMBLE
  • Chemistry
  • Chemistry, Analytical
  • DECISION TREE
  • Engineering
  • Engineering, Electrical & Electronic
  • GIS
  • HIMALAYAN AREA
  • HYBRID INTEGRATION
  • Instruments & Instrumentation
  • Iran
  • LOGISTIC-REGRESSION
  • Physical Sciences
  • RANDOM SUBSPACE METHOD
  • ROTATION FOREST
  • SPATIAL PREDICTION
  • SUPPORT VECTOR MACHINES
  • Science & Technology
  • Technology
  • alternating decision tree
  • landslide
  • machine learning algorithms

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 18

issue

  • 11