Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models

• Main Authors: Nourani, Vahid, Pradhan, Biswajeet, Ghaffari, Hamid, Sharifi, Seyed Saber
• Format: Article
• Published: Springer 2014
• Online Access: http://psasir.upm.edu.my/id/eprint/34350/; http://link.springer.com/article/10.1007%2Fs11069-013-0932-3

Without a doubt, landslide is one of the most disastrous natural hazards and landslide susceptibility maps (LSMs) in regional scale are the useful guide to future development planning. Therefore, the importance of generating LSMs through different methods is popular in the international literature....