Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping

• Main Authors: Shirzadi, A., Soliamani, K., Habibnejhad, M., Kavian, A., Chapi, K., Shahabi, H., Chen, W., Khosravi, K., Pham, B. T., Pradhan, B., Ahmad, A., Ahmad, B., Bui, D. T.
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: G70.212-70.215 Geographic information system
• Online Access: http://eprints.utm.my/id/eprint/79659/1/AnuarAhmad2018_NovelGISbasedMachineLearning.pdf; http://eprints.utm.my/id/eprint/79659/; http://dx.doi.org/10.3390/s18113777
• Institution: Universiti Teknologi Malaysia

The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolut...