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Copula-based multivariate analysis of hydro-meteorological drought
Droughts have far-reaching detrimental impacts on the environment, society, and economy, ranging from regional to national levels. As the drought...
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Assessment of Landslide Vulnerability Using Statistical and Machine Learning Methods in Bageshwar District of Uttarakhand, India
In the Bageshwar district, much of its rainfall comes from convectional thunderstorms, which trigger landslides and affect the physical as well as...
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Multivariate index for monitoring drought (case study, Northeastern of Iraq)
Drought analysis is important for early warning of drought events in arid and semiarid regions. Reliance on a single variable or index is not...
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Map** the spatiotemporal diversity of precipitation in Iran using multiple statistical methods
Despite being located in a semi-arid and arid part of the world, Iran enjoys a very diverse climate. Our objective is to regionalize the country into...
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Assessing the Suitability of Territories for Detailed Geological and Mineralogical Map** Based on Statistical Methods for Processing Remote Sensing Data from the Landsat-8 Spacecraft: Using the Example of Southeastern Zabaykalsky Krai, Russia
AbstractThis paper considers the suitability of using multispectral remote sensing data from the Landsat-8 satellite for conducting regional...
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Rock Mass Classification by Multivariate Statistical Techniques and Artificial Intelligence
This study aims to improve the quality and accuracy of RMR classification system for rock masses in open pit mines. A database of open pit mines...
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Assessment of water quality using multivariate statistics and geographical information systems (GIS) of Wadi Aldabab, Taiz, Yemen
The shortage of water resources in Yemen has an implication on the availability and supply of safe water in the country. This study assessed the...
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A Predictive Model for Class II Rocks Post Peak Modulus Using Stochastic and Backward Multivariate Methods
The post peak modulus of hard brittle Class II rocks are the least studied geo-mechanical properties of rocks. This is because of the difficulty...
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Appraisal of river water quality using multivariate statistics and water quality indices: a case of Hindon River (India)
A good quality water is essential for all communities living above and below the land surface. However, anthropogenic activities continuously...
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What is the link between temperature, carbon dioxide and methane? A multivariate Granger causality analysis based on ice core data from Dome C in Antarctica
This paper continues the work of Kang and Larsson Theoretical and Applied Climatology 116:537–548 (2014) What is the link between temperature and...
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Application of multivariate statistical analysis and water quality index for quality characterization of Parbati River, Northwestern Himalaya, India
The present study is an attempt to accomplish the understanding of the factors impacting Parbati river water quality in Kullu district of Himachal...
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Determination of Soil Organic Matter and Total Nitrogen from Visible Near-Infrared Spectroscopy by Multivariate Models and Variable Selection Techniques
AbstractThe status of soil nutrient content is a fundamental factor affecting changes in soil quality, influencing the growth conditions and yield...
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Application of multivariate methods and hydrochemical model to evaluate industrial mine water discharges from the phosphate beneficiation process, Eshidiya mine, southeast Jordan
The industrial mine water produced by the Eshidiya phosphate mines posed discharge, safe storage, and reuse challenges. This study aimed to evaluate...
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A multivariate decomposition–ensemble model for estimating long-term rainfall dynamics
This study aims to present a novel decomposition – ensemble model that uses multivariate data. Two algorithms, Light Gradient Boosting Machine...
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Multivariate statistical assessment of natural radioactivity and radiological hazards data of cement building materials mainly used in Cameroon
The present study aimed to assess radioactivity level in thirty cement samples from five main cement types manufactured and commonly used in Cameroon...
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Multivariate drought risk assessment of tropical river basin in South India under SSP scenarios
Climate change accelerates the changes in the hydrological cycle, which increases or decreases the intensity and duration of the drought events. This...
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Statistical Appraisal of Major Ion Chemistry of Groundwater: A Case Study from a River-Bounded Rural Area
The present study deals with the application of statistical methods like correlation, factor, cluster and multiple regression analyses to interpret...
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Multivariate return period for different types of flooding in city of Monza, Italy
The return period is a probabilistic criterion used to measure and communicate the random occurrence of geophysical events such as floods in risk...
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Estimation of static Young’s modulus of sandstone types: effective machine learning and statistical models
The elastic modulus is one of the important parameters for analyzing the stability of engineering projects, especially dam sites. In the current...
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Multivariate Statistics
This chapter introduce the most important techniques of multivariate statistics: principal component analysis (PCA) and cluster analysis (CA) in...