Multivariate analysis of ecological data using CANOCO:
This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2003
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xi, 269 pages) |
| ISBN: | 9780511615146 |
| DOI: | 10.1017/CBO9780511615146 |
Internformat
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Datensatz im Suchindex
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| author | Lepš, Jan 1953- |
| author_facet | Lepš, Jan 1953- |
| author_role | aut |
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| dewey-full | 577/.07/27 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577/.07/27 |
| dewey-search | 577/.07/27 |
| dewey-sort | 3577 17 227 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Mathematik Geographie |
| doi_str_mv | 10.1017/CBO9780511615146 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:19Z |
| institution | BVB |
| isbn | 9780511615146 |
| language | English |
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| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (xi, 269 pages) |
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| spelling | Lepš, Jan 1953- Verfasser aut Multivariate analysis of ecological data using CANOCO Jan Leps̆ & Petr S̆milauer Cambridge Cambridge University Press 2003 1 online resource (xi, 269 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website Ökologie Ecology / Statistical methods 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 Šmilauer, Petr 1967- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-81409-6 Erscheint auch als Druckausgabe 978-0-521-89108-0 https://doi.org/10.1017/CBO9780511615146 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lepš, Jan 1953- Multivariate analysis of ecological data using CANOCO Ökologie Ecology / Statistical methods 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 |
| title_auth | Multivariate analysis of ecological data using CANOCO |
| title_exact_search | Multivariate analysis of ecological data using CANOCO |
| title_full | Multivariate analysis of ecological data using CANOCO Jan Leps̆ & Petr S̆milauer |
| title_fullStr | Multivariate analysis of ecological data using CANOCO Jan Leps̆ & Petr S̆milauer |
| title_full_unstemmed | Multivariate analysis of ecological data using CANOCO Jan Leps̆ & Petr S̆milauer |
| title_short | Multivariate analysis of ecological data using CANOCO |
| title_sort | multivariate analysis of ecological data using canoco |
| topic | Ökologie Ecology / Statistical methods Multivariate analysis Ökologie (DE-588)4043207-5 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Ökologie Ecology / Statistical methods Multivariate analysis Multivariate Analyse |
| url | https://doi.org/10.1017/CBO9780511615146 |
| work_keys_str_mv | AT lepsjan multivariateanalysisofecologicaldatausingcanoco AT smilauerpetr multivariateanalysisofecologicaldatausingcanoco |