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Advanced Statistical Analysis for Soil Scientists / by Tancredo Souza

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XIII, 150 p. 2 illus., 1 illus. in color.)ISBN:
  • 9783031881619
Subject(s): Additional physical formats: 9783031881602 | 9783031881626 | 9783031881633 | Erscheint auch als: 9783031881602 Druck-Ausgabe | Erscheint auch als: 9783031881626 Druck-Ausgabe | Erscheint auch als: 9783031881633 Druck-AusgabeDDC classification:
  • 631.4 23
DOI: DOI: 10.1007/978-3-031-88161-9Online resources: Summary: 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).Summary: 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.PPN: PPN: 1929464703Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SBL | ZDB-2-SXB
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