Joint species distribution modelling with applications in R
Joint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data.
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Cambridge, England, United Kingdom Cambridge University Press Otso Ovaskainen and Nerea Abrego
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Subjects: | Biogeografía, Métodos estadísticos, Modelos de distribución de especies, Comunidades bióticas, R (Lenguaje de programación para computadora), |
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KOHA-OAI-ECOSUR:631532023-02-15T12:27:05ZJoint species distribution modelling with applications in R Ovaskainen, Otso autor Nerea Abrego, Nerea autora textCambridge, England, United Kingdom Cambridge University Press Otso Ovaskainen and Nerea Abregoc2020engJoint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data.Incluye bibliografía: páginas 350-368 e índice: páginas 368-372Preface.. Acknowledgements.. Part I Introduction to Community Ecology: Theory and Methods.. 1 Historical Development of Community Ecology.. 2 Typical Data Collected by Community Ecologists.. 3 Typical Statistical Methods Applied by Community Ecologists.. 4 An Overview of the Structure and Use of HMSC.. Part II Building a Joint Species Distribution Model Step by Step.. 5 Single-Species Distribution Modelling.. 6 Joint Species Distribution Modelling: Variation in Species Niches.. 7 Joint Species Distribution Modelling: Biotic Interactions.. 8 Bayesian Inference in HMSC.. 9 Evaluating Model Fit and Selecting among Multiple Models.. Part III Applications and Perspectives.. 10 Linking HMSC Back to Community Assembly Processes.. 11 Illustration of HMSC Analyses: Case Study of Finnish Birds.. 12 Conclusions and Future Directions.. Epilogue.. References.. IndexJoint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data.BiogeografíaMétodos estadísticosModelos de distribución de especiesComunidades bióticasR (Lenguaje de programación para computadora)URN:ISBN:1108716784URN:ISBN:9781108716789 |
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Biogeografía Métodos estadísticos Modelos de distribución de especies Comunidades bióticas R (Lenguaje de programación para computadora) Biogeografía Métodos estadísticos Modelos de distribución de especies Comunidades bióticas R (Lenguaje de programación para computadora) |
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Biogeografía Métodos estadísticos Modelos de distribución de especies Comunidades bióticas R (Lenguaje de programación para computadora) Biogeografía Métodos estadísticos Modelos de distribución de especies Comunidades bióticas R (Lenguaje de programación para computadora) Ovaskainen, Otso autor Nerea Abrego, Nerea autora Joint species distribution modelling with applications in R |
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Joint species distribution modelling (JSDM) is a fast-developing field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R-package Hmsc, providing a fast starting point for applying joint species distribution modelling to their own data. |
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Texto |
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Biogeografía Métodos estadísticos Modelos de distribución de especies Comunidades bióticas R (Lenguaje de programación para computadora) |
author |
Ovaskainen, Otso autor Nerea Abrego, Nerea autora |
author_facet |
Ovaskainen, Otso autor Nerea Abrego, Nerea autora |
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Ovaskainen, Otso autor |
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Joint species distribution modelling with applications in R |
title_short |
Joint species distribution modelling with applications in R |
title_full |
Joint species distribution modelling with applications in R |
title_fullStr |
Joint species distribution modelling with applications in R |
title_full_unstemmed |
Joint species distribution modelling with applications in R |
title_sort |
joint species distribution modelling with applications in r |
publisher |
Cambridge, England, United Kingdom Cambridge University Press Otso Ovaskainen and Nerea Abrego |
publishDate |
c202 |
work_keys_str_mv |
AT ovaskainenotsoautor jointspeciesdistributionmodellingwithapplicationsinr AT nereaabregonereaautora jointspeciesdistributionmodellingwithapplicationsinr |
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1758022854323994624 |