Book Volume 11 1991

Computer assisted vegetation analysis

Editors:

ISBN: 978-94-010-5512-3 (Print) 978-94-011-3418-7 (Online)

Table of contents (42 chapters)

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  1. Front Matter

    Pages i-ix

  2. Part I

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-13

      The Properties and Interpretation of Observations in Vegetation Study

    3. Sampling

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        Chapter

        Pages 17-28

        Computerized Sampling in Vegetation Studies

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        Chapter

        Pages 29-39

        Sampling with Multiple Objectives and the Role of Spatial Autocorrelation

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        Chapter

        Pages 41-46

        On Sample Size Optimality in Ecosystem Survey

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        Chapter

        Pages 47-57

        Statistics in Ecosystem Survey: Computer Support for Process-Based Sample Stability Tests and Entropy/Information Inference

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        Chapter

        Pages 59-67

        Computer Simulation and Sampling Efficiency

      Data Bases

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        Chapter

        Pages 71-77

        The Relational Model for Data Bases in Community Studies

      Characters and Character Selection

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        Chapter

        Pages 81-86

        On Character-Based Plant Community Analysis: Choice, Arrangement, Comparison

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        Chapter

        Pages 87-93

        Fuzzy Components in Community Level Comparisons

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        Chapter

        Pages 95-99

        Fuzzy Linguistics Concept in Redescription of Vegetation Data

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        Chapter

        Pages 101-119

        A Comparison of Some Methods of Selecting Species in Vegetation Analysis

      Similarity Measures

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        Chapter

        Pages 123-135

        Mutational and Nonmutational Similarity Measures: A Preliminary Examination

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        Chapter

        Pages 137-146

        Application of Probabilistic Methods in the Analysis of Phytosociological Data

      Classification

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        Chapter

        Pages 149-171

        Knowing When to Stop: Cluster Concept — Concept Cluster

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        Chapter

        Pages 173-184

        Fuzzy Clustering of Ecological Data

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        Chapter

        Pages 185-195

        A Method for Generating Consensus Partitions and its Application to Community Classification

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        Chapter

        Pages 197-209

        A General Strategy for the Simultaneous Classification of Variables and Observations in Ecological Data Tables

      Evaluation of Classification

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        Chapter

        Pages 213-219

        Locality Theory: The Phenomenon and its Significance

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        Chapter

        Pages 221-240

        Permutation Techniques Based on Euclidean Analysis Spaces: A New and Powerful Statistical Method for Ecological Research

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        Chapter

        Pages 241-246

        Comparison of Fuzzy Classifications

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