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Data Analysis in Vegetation Ecology [[electronic resource]]
| Data Analysis in Vegetation Ecology [[electronic resource]] |
| Autore | Wildi Otto |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina | 581.70285 |
| Soggetto topico |
Plant communities -- Data processing
Plant communities -- Mathematical models Plant ecology -- Data processing Plant ecology -- Mathematical models |
| ISBN |
1-118-56252-6
1-299-46461-0 1-118-56253-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface to the second edition; Preface to the first edition; List of figures; List of tables; About the companion website; Chapter 1 Introduction; Chapter 2 Patterns in vegetation ecology; 2.1 Pattern recognition; 2.2 Interpretation of patterns; 2.3 Sampling for pattern recognition; 2.3.1 Getting a sample; 2.3.2 Organizing the data; 2.4 Pattern recognition in R; Chapter 3 Transformation; 3.1 Data types; 3.2 Scalar transformation and the species enigma; 3.3 Vector transformation; 3.4 Example: Transformation of plant cover data
Chapter 4 Multivariate comparison4.1 Resemblance in multivariate space; 4.2 Geometric approach; 4.3 Contingency measures; 4.4 Product moments; 4.5 The resemblance matrix; 4.6 Assessing the quality of classifications; Chapter 5 Classification; 5.1 Group structures; 5.2 Linkage clustering; 5.3 Average linkage clustering; 5.4 Minimum-variance clustering; 5.5 Forming groups; 5.6 Silhouette plot and fuzzy representation; Chapter 6 Ordination; 6.1 Why ordination?; 6.2 Principal component analysis; 6.3 Principal coordinates analysis; 6.4 Correspondence analysis; 6.5 Heuristic ordination 6.5.1 The horseshoe or arch effect6.5.2 Flexible shortest path adjustment; 6.5.3 Nonmetric multidimensional scaling; 6.5.4 Detrended correspondence analysis; 6.6 How to interpret ordinations; 6.7 Ranking by orthogonal components; 6.7.1 RANK method; 6.7.2 A sampling design based on RANK (example); Chapter 7 Ecological patterns; 7.1 Pattern and ecological response; 7.2 Evaluating groups; 7.2.1 Variance testing; 7.2.2 Variance ranking; 7.2.3 Ranking by indicator values; 7.2.4 Contingency tables; 7.3 Correlating spaces; 7.3.1 The Mantel test; 7.3.2 Correlograms 7.3.3 More trends: `Schlaenggli' data revisited7.4 Multivariate linear models; 7.4.1 Constrained ordination; 7.4.2 Nonparametric multiple analysis of variance; 7.5 Synoptic vegetation tables; 7.5.1 The aim of ordering tables; 7.5.2 Steps involved in sorting tables; 7.5.3 Example: ordering Ellenberg's data; Chapter 8 Static predictive modelling; 8.1 Predictive or explanatory?; 8.2 Evaluating environmental predictors; 8.3 Generalized linear models; 8.4 Generalized additive models; 8.5 Classification and regression trees; 8.6 Building scenarios; 8.7 Modelling vegetation types 8.8 Expected wetland vegetation (example)Chapter 9 Vegetation change in time; 9.1 Coping with time; 9.2 Temporal autocorrelation; 9.3 Rate of change and trend; 9.4 Markov models; 9.5 Space-for-time substitution; 9.5.1 Principle and method; 9.5.2 The Swiss National Park succession (example); 9.6 Dynamics in pollen diagrams (example); Chapter 10 Dynamic modelling; 10.1 Simulating time processes; 10.2 Simulating space processes; 10.3 Processes in the Swiss National Park; 10.3.1 The temporal model; 10.3.2 The spatial model; Chapter 11 Large data sets: wetland patterns; 11.1 Large data sets differ 11.2 Phytosociology revisited |
| Record Nr. | UNINA-9910779568203321 |
Wildi Otto
|
||
| Hoboken, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Analysis in Vegetation Ecology [[electronic resource]]
| Data Analysis in Vegetation Ecology [[electronic resource]] |
| Autore | Wildi Otto |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2013 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina | 581.70285 |
| Soggetto topico |
Plant communities -- Data processing
Plant communities -- Mathematical models Plant ecology -- Data processing Plant ecology -- Mathematical models |
| ISBN |
1-118-56252-6
1-299-46461-0 1-118-56253-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface to the second edition; Preface to the first edition; List of figures; List of tables; About the companion website; Chapter 1 Introduction; Chapter 2 Patterns in vegetation ecology; 2.1 Pattern recognition; 2.2 Interpretation of patterns; 2.3 Sampling for pattern recognition; 2.3.1 Getting a sample; 2.3.2 Organizing the data; 2.4 Pattern recognition in R; Chapter 3 Transformation; 3.1 Data types; 3.2 Scalar transformation and the species enigma; 3.3 Vector transformation; 3.4 Example: Transformation of plant cover data
Chapter 4 Multivariate comparison4.1 Resemblance in multivariate space; 4.2 Geometric approach; 4.3 Contingency measures; 4.4 Product moments; 4.5 The resemblance matrix; 4.6 Assessing the quality of classifications; Chapter 5 Classification; 5.1 Group structures; 5.2 Linkage clustering; 5.3 Average linkage clustering; 5.4 Minimum-variance clustering; 5.5 Forming groups; 5.6 Silhouette plot and fuzzy representation; Chapter 6 Ordination; 6.1 Why ordination?; 6.2 Principal component analysis; 6.3 Principal coordinates analysis; 6.4 Correspondence analysis; 6.5 Heuristic ordination 6.5.1 The horseshoe or arch effect6.5.2 Flexible shortest path adjustment; 6.5.3 Nonmetric multidimensional scaling; 6.5.4 Detrended correspondence analysis; 6.6 How to interpret ordinations; 6.7 Ranking by orthogonal components; 6.7.1 RANK method; 6.7.2 A sampling design based on RANK (example); Chapter 7 Ecological patterns; 7.1 Pattern and ecological response; 7.2 Evaluating groups; 7.2.1 Variance testing; 7.2.2 Variance ranking; 7.2.3 Ranking by indicator values; 7.2.4 Contingency tables; 7.3 Correlating spaces; 7.3.1 The Mantel test; 7.3.2 Correlograms 7.3.3 More trends: `Schlaenggli' data revisited7.4 Multivariate linear models; 7.4.1 Constrained ordination; 7.4.2 Nonparametric multiple analysis of variance; 7.5 Synoptic vegetation tables; 7.5.1 The aim of ordering tables; 7.5.2 Steps involved in sorting tables; 7.5.3 Example: ordering Ellenberg's data; Chapter 8 Static predictive modelling; 8.1 Predictive or explanatory?; 8.2 Evaluating environmental predictors; 8.3 Generalized linear models; 8.4 Generalized additive models; 8.5 Classification and regression trees; 8.6 Building scenarios; 8.7 Modelling vegetation types 8.8 Expected wetland vegetation (example)Chapter 9 Vegetation change in time; 9.1 Coping with time; 9.2 Temporal autocorrelation; 9.3 Rate of change and trend; 9.4 Markov models; 9.5 Space-for-time substitution; 9.5.1 Principle and method; 9.5.2 The Swiss National Park succession (example); 9.6 Dynamics in pollen diagrams (example); Chapter 10 Dynamic modelling; 10.1 Simulating time processes; 10.2 Simulating space processes; 10.3 Processes in the Swiss National Park; 10.3.1 The temporal model; 10.3.2 The spatial model; Chapter 11 Large data sets: wetland patterns; 11.1 Large data sets differ 11.2 Phytosociology revisited |
| Record Nr. | UNINA-9910821892203321 |
|
Wildi Otto
|
||
| Hoboken, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis in vegetation ecology [[electronic resource] /] / Otto Wildi
| Data analysis in vegetation ecology [[electronic resource] /] / Otto Wildi |
| Autore | Wildi Otto |
| Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, 2010 |
| Descrizione fisica | 1 online resource (235 p.) |
| Disciplina | 581.70285 |
| Soggetto topico |
Plant communities - Data processing
Plant communities - Mathematical models Plant ecology - Data processing Plant ecology - Mathematical models |
| ISBN |
1-119-96563-2
1-282-68435-3 9786612684357 0-470-66101-1 0-470-66497-5 0-470-66496-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Analysis in Vegetation Ecology; Contents; Preface; List of Figures; List of Tables; 1 Introduction; 2 Patterns in Vegetation Ecology; 3 Transformation; 4 Multivariate Comparison; 5 Ordination; 6 Classification; 7 Joining Ecological Patterns; 8 Static Explanatory Modelling; 9 Assessing Vegetation Change in Time; 10 Dynamic Modelling; 11 Large Data Sets: Wetland Patterns; 12 Swiss Forests: A Case Study; Appendix A On Using Software; Appendix B Data Sets Used; References; Index |
| Record Nr. | UNINA-9910140601303321 |
|
Wildi Otto
|
||
| Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis in vegetation ecology / / Otto Wildi
| Data analysis in vegetation ecology / / Otto Wildi |
| Autore | Wildi Otto |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, 2010 |
| Descrizione fisica | 1 online resource (235 p.) |
| Disciplina | 581.70285 |
| Soggetto topico |
Plant communities - Data processing
Plant communities - Mathematical models Plant ecology - Data processing Plant ecology - Mathematical models |
| ISBN |
1-119-96563-2
1-282-68435-3 9786612684357 0-470-66101-1 0-470-66497-5 0-470-66496-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Analysis in Vegetation Ecology; Contents; Preface; List of Figures; List of Tables; 1 Introduction; 2 Patterns in Vegetation Ecology; 3 Transformation; 4 Multivariate Comparison; 5 Ordination; 6 Classification; 7 Joining Ecological Patterns; 8 Static Explanatory Modelling; 9 Assessing Vegetation Change in Time; 10 Dynamic Modelling; 11 Large Data Sets: Wetland Patterns; 12 Swiss Forests: A Case Study; Appendix A On Using Software; Appendix B Data Sets Used; References; Index |
| Record Nr. | UNINA-9910819517503321 |
|
Wildi Otto
|
||
| Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||