Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Academic
2008
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | DE-1046 Volltext |
| Beschreibung: | A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site Includes bibliographical references (p. 417-437) and index |
| Beschreibung: | 1 Online-Ressource (xviii, 444 pages) |
| ISBN: | 9780123740977 0123740975 9780080559254 0080559255 |
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Datensatz im Suchindex
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| dewey-full | 577.015118 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.015118 |
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| dewey-sort | 3577.015118 |
| dewey-tens | 570 - Biology |
| discipline | Allgemeines Biologie |
| edition | 1st ed |
| format | Electronic eBook |
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| isbn | 9780123740977 0123740975 9780080559254 0080559255 |
| language | English |
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| spelling | Royle, J. Andrew Verfasser aut Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities J. Andrew Royle and Robert M. Dorazio 1st ed Amsterdam Academic 2008 1 Online-Ressource (xviii, 444 pages) txt rdacontent c rdamedia cr rdacarrier A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site Includes bibliographical references (p. 417-437) and index SCIENCE / Environmental Science (see also Chemistry / Environmental) bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh NATURE / Ecology bisacsh SCIENCE / Life Sciences / Ecology bisacsh Mathematisches Modell Ökologie Spatial ecology Mathematical models Spatial ecology Computer simulation Ökologie (DE-588)4043207-5 gnd rswk-swf Ökosystem (DE-588)4043216-6 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Hierarchie Mathematik (DE-588)4561448-9 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Ökologie (DE-588)4043207-5 s Hierarchie Mathematik (DE-588)4561448-9 s Statistisches Modell (DE-588)4121722-6 s DE-604 Ökosystem (DE-588)4043216-6 s Statistische Schlussweise (DE-588)4182963-3 s Biostatistik (DE-588)4729990-3 s Dorazio, Robert M. Sonstige oth http://www.sciencedirect.com/science/book/9780123740977 Verlag Volltext |
| spellingShingle | Royle, J. Andrew Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities SCIENCE / Environmental Science (see also Chemistry / Environmental) bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh NATURE / Ecology bisacsh SCIENCE / Life Sciences / Ecology bisacsh Mathematisches Modell Ökologie Spatial ecology Mathematical models Spatial ecology Computer simulation Ökologie (DE-588)4043207-5 gnd Ökosystem (DE-588)4043216-6 gnd Biostatistik (DE-588)4729990-3 gnd Statistisches Modell (DE-588)4121722-6 gnd Hierarchie Mathematik (DE-588)4561448-9 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4043216-6 (DE-588)4729990-3 (DE-588)4121722-6 (DE-588)4561448-9 (DE-588)4182963-3 |
| title | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities |
| title_auth | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities |
| title_exact_search | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities |
| title_full | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities J. Andrew Royle and Robert M. Dorazio |
| title_fullStr | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities J. Andrew Royle and Robert M. Dorazio |
| title_full_unstemmed | Hierarchical modeling and inference in ecology the analysis of data from populations, metapopulations and communities J. Andrew Royle and Robert M. Dorazio |
| title_short | Hierarchical modeling and inference in ecology |
| title_sort | hierarchical modeling and inference in ecology the analysis of data from populations metapopulations and communities |
| title_sub | the analysis of data from populations, metapopulations and communities |
| topic | SCIENCE / Environmental Science (see also Chemistry / Environmental) bisacsh NATURE / Ecosystems & Habitats / Wilderness bisacsh NATURE / Ecology bisacsh SCIENCE / Life Sciences / Ecology bisacsh Mathematisches Modell Ökologie Spatial ecology Mathematical models Spatial ecology Computer simulation Ökologie (DE-588)4043207-5 gnd Ökosystem (DE-588)4043216-6 gnd Biostatistik (DE-588)4729990-3 gnd Statistisches Modell (DE-588)4121722-6 gnd Hierarchie Mathematik (DE-588)4561448-9 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
| topic_facet | SCIENCE / Environmental Science (see also Chemistry / Environmental) NATURE / Ecosystems & Habitats / Wilderness NATURE / Ecology SCIENCE / Life Sciences / Ecology Mathematisches Modell Ökologie Spatial ecology Mathematical models Spatial ecology Computer simulation Ökosystem Biostatistik Statistisches Modell Hierarchie Mathematik Statistische Schlussweise |
| url | http://www.sciencedirect.com/science/book/9780123740977 |
| work_keys_str_mv | AT roylejandrew hierarchicalmodelingandinferenceinecologytheanalysisofdatafrompopulationsmetapopulationsandcommunities AT doraziorobertm hierarchicalmodelingandinferenceinecologytheanalysisofdatafrompopulationsmetapopulationsandcommunities |