Information analysis of vegetation data

Inhaltsverzeichnis

• 1. Introduction.
• 2. Definitions of entropy and divergence.
• 3. Arrays of vegetation data.
• R-dispersion arrays.
• Q-dispersion arrays.
• Diversity arrays.
• Predictive arrays.
• Notes on symbols.
• 4. Measurements on the arrays.
• Entropy measures and multiples.
• Components of entropy.
• Divergence measures.
• Information measures on diversity arrays.
• Hierarchically nested model of divergence.
• Redundancy.
• Equivocation.
• 5. Application to community analysis.
• Ecological connections.
• Classification.
• Predictivity analysis.
• Comparison of classifications.
• Identification.
• 6. Computer programs and examples of application.
• A. Characterization of programs.
• B. Ranking species.
• C. Computation of resemblance matrices.
• D. Cluster analysis.
• E. Predictivity analysis.
• F. Nested model.
• G. Identification.
• H. Structuring data tables.
• 7. Program listings.
• 8. References.