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" Computer assisted vegetation analysis "
edited by E. Feoli, L. Orlóci.
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BL
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734152
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b553978
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| Main Entry
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edited by E. Feoli, L. Orlóci.
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| Title & Author
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Computer assisted vegetation analysis\ edited by E. Feoli, L. Orlóci.
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| Publication Statement
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Dordrecht: Springer Netherlands, 1991
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| Series Statement
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Handbook of vegetation science, 11.
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(ix, 498 pages)
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| ISBN
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9401134189
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: 9789401134187
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| Contents
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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.
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| Abstract
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tion studies (see Acot 1989) but after an active period character sets of ecological value must enter into marked by intensive phytoclimatic and synecological consideration and a hierarchical analysis of patterns studies, vegetation science entered in a rather dormant and processes should be the basis of comparisons.
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| Subject
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Ecology.
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Life sciences.
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Plant ecology.
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| LC Classification
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QK911.E358 1991
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| Added Entry
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E Feoli
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L Orlóci
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