Computer Assisted Vegetation Analysis

I.- 1. The properties and interpretation of observations in vegetation study.- Sampling.- 2. Computerized sampling in vegetation studies.- 3. Sampling with multiple objectives and the role of spatial autocorrelation.- 4. On sample size optimality in ecosystem survey.- 5. Statistics in ecosystem survey: computer support for process-based sample stability tests and entropy/information inference.- 6. Computer simulation and sampling efficiency.- Databases.- 7. The relational model for data bases in community studies.- Characters and Character Selection.- 8. On character-based plant community analysis: choice, arrangement, comparison.- 9. Fuzzy components in community level comparisons.- 10. Fuzzy linguistics concept in redescription of vegetation data.- 11. A comparison of some methods of selecting species in vegetation analysis.- Similarity Measures.- 12. Mutational and nonmutational similarity measures: a preliminary examination.- 13. Application of probabilistic methods in the analysis of phytosociological data.- Classification.- 14. Knowing when to stop: cluster concept-concept cluster.- 15. Fuzzy clustering of ecological data.- 16. A method for generating consensus partitions and its application to community classification.- 17. A general strategy for the simultaneous classification of variables and observations in ecological data tables.- Evaluation of Classification.- 18. Locality theory: the phenomenon and its significance.- 19. Permutation techniques based on euclidean analysis spaces: a new and powerful statistical method for ecological research.- 20. Comparison of fuzzy classifications.- Ordination.- 21. Flexible gradient analysis: a note on ideas and an application.- 22. Ordination based on classification: yet another solution?.- 23. Syntaxonomy: a source of useful fuzzy sets for environmental analysis?.- 24. Community niche, an effective concept to measure diversity of gradients and hyperspaces.- 25. On niche separation and its measurement.- 26. Autocorrelation for measuring predictivity in community ecology: an example with structural and chorological data from mixed forest types of NE Italy.- 27. Testing for elliptical clusters in ecological multidimensional spaces.- 28. Spatial interpolation methods for interpretation of ordination diagrams.- 29. Coexistence of competing populations along an environmental gradient: a simulation study.- 30. Regression modelling of perturbation in some vegetation types.- Analysis of Spatial Patterns.- 31. The measurement of horizontal patterns in vegetation: a review and proposals for models.- 32. Trend surface analysis and splines for pattern determination in plant communities.- 33. Edge detection in vegetation: Jornada revisited.- 34. Spatial competition models for plant populations.- II Computer Packages.- 35. DENT: A PASCAL program for vegetation data entry into microcomputers.- 36. Introduction to data analysis: a comprehensive program package for personal computers.- 37. MULVA-4, a processing environment for vegetation analysis.- 38. FIVEPA, a program package to perform comparisons of sets by information and other functions.- 39. SYN-TAX IV. Computer programs for data analysis in ecology and systematic.- 40. Probabilistic methods in classification: a manual for seven computer programs.- 41. NICHE - Programs for niche breadth, overlap and hypervolumes.- 42. PATT - Spatial autocorrelation analysis: computer program and examples of application with data sets of grassland vegetation under a natural reforestation process in the Karst near Trieste.