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Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab basin)

Arabian Journal of Geosciences, 2012
Landslides are among the great destructive factors which cause lots of fatalities and financial losses all over the world every year. Studying of the factors affecting occurrence of landslides in a region and zoning the resulting damages will certainly play a crucial role in mitigating such phenomena. In this research, through geological maps and field
Shahabi, H., Ahmad, Baharin, Khezri, S.
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A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

Water Resources Management, 2015
As demand for fresh groundwater in the worldwide is increasing, delineation of groundwater spring potential zones become an increasingly important tool for implementing a successful groundwater determination, protection, and management programs. Therefore, the objective of current study is to evaluate the capability of three machine learning models ...
Seyed Amir Naghibi, Hamid Reza Pourghasemi   +1 more
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Foundational methods: descriptive statistics: bivariate and multivariate data (correlations, associations)

2023
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