Multivariate Analysis of Ecological Communities
| Autores principales: | , |
|---|---|
| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
1987.
|
| Edición: | 1st ed. 1987. |
| Colección: | Population and Community Biology Series ;
5 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-94-009-3135-0 |
Tabla de Contenidos:
- 1 Ecological data
- 1.1 Types of data
- 1.2 Forms of data
- 1.3 Standardization and transformation of data
- 1.4 Constructing association data
- 2 Preliminary inspection of data
- 2.1 Displaying data values
- 2.2 Mapping
- 2.3 Displaying distributions of variables
- 2.4 Bivariate and multivariate displays
- 3 Ordination
- 3.1 Direct gradient analysis
- 3.2 Principal components analysis
- 3.3 Correspondence analysis
- 3.4 Ordination methods when rows or columns are grouped
- 3.5 Principal coordinates analysis
- 3.6 The horseshoe effect
- 3.7 Non-metric ordination
- 3.8 Case studies
- 4 Methods for comparing ordinations
- 4.1 Procrustes rotation
- 4.2 Generalized Procrustes analysis
- 4.3 Comparing ordination methods by multiple Procrustes analysis
- 5 Classification
- 5.1 Agglomerative hierarchical methods
- 5.2 Divisive hierarchical methods
- 5.3 Non-hierarchical classification
- 5.4 Visual displays for classification
- 5.5 Case study
- 5.6 Methods for comparing classifications
- 6 Analysis of asymmetry
- 6.1 Row and column plots
- 6.2 Skew-symmetry analysis
- 6.3 Case studies
- 6.4 A proof of the triangle-area theorem
- 7 Computing
- 7.1 Computing options
- 7.2 Examples of Genstat programs
- 7.3 Handling missing values
- 7.4 Conclusion
- 7.5 List of software
- References
- Appendix Matrix algebra
- A.1 Matrices and vectors
- A.2 Particular forms of matrices
- A.3 Simple matrix operations
- A.4 Simple geometry and some special matrices
- A.5 Matrix inversion
- A.6 Scalar functions of matrices
- A.7 Orthogonal matrices
- A.8 Matrix decompositions
- A.9 Conclusion.