Multivariate analysis of ecological data using CANOCO /:
This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, and advice is given on how best to apply these methods using Canoco software. Data sets and program files for the case studies are provided on a suppo...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, UK ; New York :
Cambridge University Press,
2003.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, and advice is given on how best to apply these methods using Canoco software. Data sets and program files for the case studies are provided on a supporting website. |
Beschreibung: | 1 online resource (xi, 269 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 262-266) and index. |
ISBN: | 0511078188 9780511078187 0511179367 9780511179365 9780511615146 0511615140 0511076614 9780511076619 9780511330742 051133074X |
Internformat
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245 | 1 | 0 | |a Multivariate analysis of ecological data using CANOCO / |c Jan Leps̆, Petr S̆milauer. |
260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2003. | ||
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505 | 0 | |a Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction and data manipulation; 2 Experimental design; 3 Basics of gradient analysis; 4 Using the Canoco for Windows 4.5 package; 5 Constrained ordination and permutation tests; 6 Similarity measures; 7 Classification methods; 8 Regression methods; 9 Advanced use of ordination; 10 Visualizing multivariate data; 11 Case study 1: Variation in forest bird assemblages; 12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. | |
520 | |a This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, and advice is given on how best to apply these methods using Canoco software. Data sets and program files for the case studies are provided on a supporting website. | ||
650 | 0 | |a Ecology |x Statistical methods. | |
650 | 0 | |a Multivariate analysis. |0 http://id.loc.gov/authorities/subjects/sh85088390 | |
650 | 2 | |a Multivariate Analysis |0 https://id.nlm.nih.gov/mesh/D015999 | |
650 | 6 | |a Analyse multivariée. | |
650 | 7 | |a SCIENCE |x Environmental Science (see also Chemistry |x Environmental) |2 bisacsh | |
650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
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650 | 7 | |a Multivariate analysis |2 fast | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Lepš, Jan, 1953- |
author2 | Šmilauer, Petr, 1967- |
author2_role | |
author2_variant | p s ps |
author_GND | http://id.loc.gov/authorities/names/n2002160040 http://id.loc.gov/authorities/names/n2002160041 |
author_facet | Lepš, Jan, 1953- Šmilauer, Petr, 1967- |
author_role | |
author_sort | Lepš, Jan, 1953- |
author_variant | j l jl |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QH541 |
callnumber-raw | QH541.15.S72 L47 2003eb |
callnumber-search | QH541.15.S72 L47 2003eb |
callnumber-sort | QH 3541.15 S72 L47 42003EB |
callnumber-subject | QH - Natural History and Biology |
collection | ZDB-4-EBA |
contents | Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction and data manipulation; 2 Experimental design; 3 Basics of gradient analysis; 4 Using the Canoco for Windows 4.5 package; 5 Constrained ordination and permutation tests; 6 Similarity measures; 7 Classification methods; 8 Regression methods; 9 Advanced use of ordination; 10 Visualizing multivariate data; 11 Case study 1: Variation in forest bird assemblages; 12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. |
ctrlnum | (OCoLC)57417392 |
dewey-full | 577/.072/7 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 577 - Ecology |
dewey-raw | 577/.072/7 |
dewey-search | 577/.072/7 |
dewey-sort | 3577 272 17 |
dewey-tens | 570 - Biology |
discipline | Biologie |
format | Electronic eBook |
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genre | Electronic books. |
genre_facet | Electronic books. |
id | ZDB-4-EBA-ocm57417392 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:15:40Z |
institution | BVB |
isbn | 0511078188 9780511078187 0511179367 9780511179365 9780511615146 0511615140 0511076614 9780511076619 9780511330742 051133074X |
language | English |
oclc_num | 57417392 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xi, 269 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Cambridge University Press, |
record_format | marc |
spelling | Lepš, Jan, 1953- https://id.oclc.org/worldcat/entity/E39PBJrgGrY8YBrQFVX9TyHwG3 http://id.loc.gov/authorities/names/n2002160040 Multivariate analysis of ecological data using CANOCO / Jan Leps̆, Petr S̆milauer. Cambridge, UK ; New York : Cambridge University Press, 2003. 1 online resource (xi, 269 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 262-266) and index. Print version record. Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction and data manipulation; 2 Experimental design; 3 Basics of gradient analysis; 4 Using the Canoco for Windows 4.5 package; 5 Constrained ordination and permutation tests; 6 Similarity measures; 7 Classification methods; 8 Regression methods; 9 Advanced use of ordination; 10 Visualizing multivariate data; 11 Case study 1: Variation in forest bird assemblages; 12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, and advice is given on how best to apply these methods using Canoco software. Data sets and program files for the case studies are provided on a supporting website. Ecology Statistical methods. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Multivariate analysis. cct Ecology Statistical methods. cct Ecology Statistical methods fast Multivariate analysis fast Electronic books. Šmilauer, Petr, 1967- https://id.oclc.org/worldcat/entity/E39PBJgRTr3kc9BHPpPmXrhWDq http://id.loc.gov/authorities/names/n2002160041 has work: Multivariate analysis of ecological data using CANOCO (Text) https://id.oclc.org/worldcat/entity/E39PCFJJHc6GGT93vhhPQw8fRq https://id.oclc.org/worldcat/ontology/hasWork Print version: Lepš, Jan, 1953- Multivariate analysis of ecological data using CANOCO. Cambridge, UK ; New York : Cambridge University Press, 2003 052181409X 0521891086 (DLC) 2002034801 (OCoLC)50606509 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=125088 Volltext |
spellingShingle | Lepš, Jan, 1953- Multivariate analysis of ecological data using CANOCO / Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction and data manipulation; 2 Experimental design; 3 Basics of gradient analysis; 4 Using the Canoco for Windows 4.5 package; 5 Constrained ordination and permutation tests; 6 Similarity measures; 7 Classification methods; 8 Regression methods; 9 Advanced use of ordination; 10 Visualizing multivariate data; 11 Case study 1: Variation in forest bird assemblages; 12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. Ecology Statistical methods. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Multivariate analysis. cct Ecology Statistical methods. cct Ecology Statistical methods fast Multivariate analysis fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85088390 https://id.nlm.nih.gov/mesh/D015999 |
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 | Ecology Statistical methods. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Multivariate analysis. cct Ecology Statistical methods. cct Ecology Statistical methods fast Multivariate analysis fast |
topic_facet | Ecology Statistical methods. Multivariate analysis. Multivariate Analysis Analyse multivariée. SCIENCE Environmental Science (see also Chemistry Environmental) NATURE Ecosystems & Habitats Wilderness. NATURE Ecology. SCIENCE Life Sciences Ecology. Ecology Statistical methods Multivariate analysis Electronic books. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=125088 |
work_keys_str_mv | AT lepsjan multivariateanalysisofecologicaldatausingcanoco AT smilauerpetr multivariateanalysisofecologicaldatausingcanoco |