GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

• Published in: Catena (Giessen) Vol. 195; p. 104777
• Main Authors: Chen, Wei, Li, Yang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2020
• Subjects: artificial intelligence; Bagging; catenas; China; confidence interval; Dagging; data collection; humans; hybrids; inventories; land use; Landslide; landslides; lithology; model validation; prediction; rain; Real Adaboost; Reduced error pruning tree; sediment transport; soil; streams; China; Reduced error pruning tree; Landslide; Dagging; Real Adaboost; Bagging

•Novel REPT-based ensemble techniques for landslide susceptibility modeling.•ROC and statistical measures were used for validation and comparison of the models.•Ensemble models enhance the performance of solely applied REPT model.•Hybrid RRept model shows the best result in landslide prediction. Lan...