Advanced Statistical Analysis for Soil Scientists

Author:   Tancredo Souza
Publisher:   Springer International Publishing AG
ISBN:  

9783031881602


Pages:   143
Publication Date:   07 July 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Advanced Statistical Analysis for Soil Scientists


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Overview

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.

Full Product Details

Author:   Tancredo Souza
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031881602


ISBN 10:   3031881605
Pages:   143
Publication Date:   07 July 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of 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).

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Author Information

Tancredo Souza is a Visiting Professor at the Department of Agriculture, Federal University of Paraiba, Brazil. His research focuses on the effects of land use on the diversity of soil organisms in tropical and subtropical ecosystems. He is particularly interested in plant-soil interactions, the ecology of mycorrhizal fungi, and biogeochemistry. Additionally, he has expertise in multivariate statistical analysis, applying techniques such as PCA, CCA, RDA, NMDS, and SEM to interpret complex soil data. He holds a Bachelor's degree in Agronomy, a Master's degree in Soil and Water Management and Conservation, and a Ph.D. in Soil Sciences from the Federal University of Paraíba, Brazil, and the University of Coimbra, Portugal.  Affiliation: Federal University of Paraiba, Department of Agriculture, Campus III, Bananeiras, Paraiba, Brazil 

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