Joint species distribution modelling : with applications in R / Otso Ovaskainen, University of Helsinki, Nerea Abrego, University of Helsinki.Material type: BookSeries: Ecology, biodiversity and conservation.Publisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2020.Description: xvi, 372 pages : illustrations ; 23 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781108492461; 9781108716789.Subject(s): BIOGEOGRAPHY | STATISTICAL METHODS | ECOLOGY | R | GEOGRAPHICAL DISTRIBUTION | POPULATION MODELS | COMMUNITY ECOLOGY | POPULATIONSHoldings: GRETA POINT: 574.9 OVA
|Item type||Current location||Call number||Copy number||Status||Date due||Barcode|
|BOOK||WELLINGTON BOOKS||574.9 OVA||1||Issued||06/08/2021||B021252|
Includes bibliographical references and index.
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 -- Index -- References.
"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-R, providing a fast starting point for applying joint species distribution modelling to their own data"-- Provided by publisher.
GRETA POINT: 574.9 OVA