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Synopsis
This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.
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About the Authors
Petr Šmilauer is Associate Professor of Ecology in the Department of Ecosystem Biology at the University of South Bohemia. His main research interests are: multivariate statistical analysis, modern regression methods, as well as the role of arbuscular mycorrhizal symbiosis in plant communities. He is co-author of the multivariate analysis software Canoco 5, CANOCO for Windows 4.5, CanoDraw, and TWINSPAN for Windows.
Jan Lepš is Professor of Ecology in the Department of Botany at the University of South Bohemia, and in the Institute of Entomology at the Czech Academy of Sciences. His main research interests include: plant community biology, statistical analysis in the field of ecology, as well as the studies of species diversity, the role of functional traits in plant community ecology and ecology of hemiparasitic plants. Together with P. Šmilauer, he regularly offers international courses on multivariate statistics.
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Multivariate Analysis of Ecological Data using CANOCO 5
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Multivariate Analysis of Ecological Data using CANOCO 5
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Multivariate Analysis of Ecological Data using Canoco 5
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Paperback. Condition: new. Paperback. This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation. An accessible introduction to the theory and practice of multivariate analysis, this second edition will be a valuable resource to graduate students, researchers, lecturers and practitioners in the fields of plant and animal ecology, marine and freshwater biology, nature protection, forestry, and agronomy. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107694408
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An accessible introduction to the theory and practice of multivariate analysis, this second edition will be a valuable resource to graduate students, researchers, lecturers and practitioners in the fields of plant and animal ecology, marine and freshwater b. Seller Inventory # 447223439
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Multivariate Analysis of Ecological Data using Canoco 5
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