None: Legendre-Legendre-1998
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Title
| Numerical Ecology: Developments in Environmental Modelling |
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Author
| Legendre, P. and Legendre, L. |
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Abstract/Summary Statement
| The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables. |
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Table of Contents
| Preface Chapters: 1. Complex ecological data sets 2. Matrix algebra: a summary 3. Dimensional analysis in ecology 4. Multidimensional quantitative data 5. Multidimensional semiquantitative data 6. Multidimensional qualitative data 7. Ecological resemblance 8. Cluster analysis 9. Ordination in reduced space 10 Interpretation of ecological structures 11. Canonical analysis 12. Ecological data series 13. Spatial analysis Bibliography Tables Subject index |
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Citation
| Legendre, P. and Legendre, L., 1998, Numerical Ecology (Developments in Environmental Modelling), Elsevier Science BV: Amsterdam, Netherlands, 853 pp. |
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Method Source
| Not assigned |
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Source Organization Country
| Canada |
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Publication Year
| 1998 |
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Special Notes
| Second English edition; third edition will be published August 26, 2012 (ISBN-10: 0444538682) |
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Item Type
| Book |
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Publication Source Type
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Academic Institution |
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Purpose
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Data analysis |
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Design or Data Analysis Objectives
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Communities & populations Compare locations Compare treatments Compliance with a threshold Continuous (sensor) data Exploring/summarizing data Interpolate concentrations Probability survey Relationships & correlations Spatial trends Temporal trends |
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Complexity
| High |
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Media Emphasized
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Biological |
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Media Subcategory
| |
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Special Topics
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Assessing and managing autocorrelation Characterizing the uncertainty of an estimated value Evaluating whether data follow a certain (e.g., normal) distribution Identifying outliers |
