Multivariate Analysis of Ecological Data using CANOCO 5:
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2014
|
| Ausgabe: | 2nd ed |
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 12 Feb 2016) |
| Beschreibung: | 1 online resource (373 pages) |
| ISBN: | 9781107694408 9781139627061 |
| DOI: | 10.1017/CBO9781139627061 |
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Datensatz im Suchindex
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| author | Šmilauer, Petr |
| author_facet | Šmilauer, Petr |
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| dewey-full | 577.01/5195 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.01/5195 |
| dewey-search | 577.01/5195 |
| dewey-sort | 3577.01 45195 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/CBO9781139627061 |
| edition | 2nd ed |
| format | Electronic eBook |
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| spelling | Šmilauer, Petr Verfasser aut Multivariate Analysis of Ecological Data using CANOCO 5 Petr Šmilauer, Jan Lepš 2nd ed Cambridge Cambridge University Press 2014 1 online resource (373 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 12 Feb 2016) 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 Multivariate analysis Ökologie (DE-588)4043207-5 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s Ökologie (DE-588)4043207-5 s 1\p DE-604 Lepš, Jan Sonstige oth Erscheint auch als Druckausgabe 978-1-107-69440-8 https://doi.org/10.1017/CBO9781139627061 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Šmilauer, Petr Multivariate Analysis of Ecological Data using CANOCO 5 Multivariate analysis Ökologie (DE-588)4043207-5 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4040708-1 |
| title | Multivariate Analysis of Ecological Data using CANOCO 5 |
| title_auth | Multivariate Analysis of Ecological Data using CANOCO 5 |
| title_exact_search | Multivariate Analysis of Ecological Data using CANOCO 5 |
| title_full | Multivariate Analysis of Ecological Data using CANOCO 5 Petr Šmilauer, Jan Lepš |
| title_fullStr | Multivariate Analysis of Ecological Data using CANOCO 5 Petr Šmilauer, Jan Lepš |
| title_full_unstemmed | Multivariate Analysis of Ecological Data using CANOCO 5 Petr Šmilauer, Jan Lepš |
| title_short | Multivariate Analysis of Ecological Data using CANOCO 5 |
| title_sort | multivariate analysis of ecological data using canoco 5 |
| topic | Multivariate analysis Ökologie (DE-588)4043207-5 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Multivariate analysis Ökologie Multivariate Analyse |
| url | https://doi.org/10.1017/CBO9781139627061 |
| work_keys_str_mv | AT smilauerpetr multivariateanalysisofecologicaldatausingcanoco5 AT lepsjan multivariateanalysisofecologicaldatausingcanoco5 |