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Full Description
In the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive guide to modern statistical methods such as PERMANOVA, ANOSIM, PCA, NMDS, RDA, and SEM, tailored specifically for soil science research.Through practical examples and case studies, the book demonstrates how these techniques can be applied to analyze complex datasets, identify patterns, and model interactions within soil ecosystems. It provides step-by-step guidance on data preparation, analysis, and interpretation, making it a valuable resource for students, early-career researchers, and professionals in soil science.
By combining theoretical foundations with practical applications, Handbook of Advanced Statistical Analysis Applied presentes analytical tools needed to conduct rigorous research, contribute to scientific knowledge, and address challenges in sustainable land management. This book serves as a critical resource for mastering advanced statistical approaches in soil science.
Contents
PERMANOVA.- Analysis of Similarities (ANOSIM).- Multiple Regression.- Principal component analysis (PCA).- Redundancy analysis (RDA).- Non-metric muldimensional scaling (NMDS).- Canonical correspondence analysis (CCA).- Structural equation modelling (SEM).
