Cover image
Normal view MARC view ISBD view

Joint species distribution modelling : with applications in R /

by Ovaskainen, Otso; Abrego, Nerea.
Series: Ecology, biodiversity and conservation. Publisher: United Kingdom : CAMBRIDGE University Press , 2020Description: xvi , 372 p. : fig., ill. ; 23 cm.ISBN: 9781108492461; 9781108716789.Subject(s): Biogeography--Statistical methods | Ecology--Statistical methods | R (Computer program language)Summary: '"Joint Species Distribution Modelling (JSDM) is a fastdeveloping 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.
Tags from this library:
No tags from this library for this title.
Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Location Call number Status Date due Barcode
Books Books
CIFRI LIBRARY
577.2/2 (Browse shelf) Checked out 05/11/2023 12718

Includes bibliographical references and index.

'"Joint Species Distribution Modelling (JSDM) is a fastdeveloping 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.

CIFRI

Central Inland Fisheries Research Institute

CIFRI