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Joint Species Distribution Modelling on Hardback by Otso Ovaskainen
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Joint Species Distribution Modelling

With Applications in R
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Description

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.

Author Biography:

Otso Ovaskainen is Professor of Mathematical Ecology at the University of Helsinki, Finland. He has published 170 papers in mathematical, statistical and empirical ecology, with a particular focus on metapopulation ecology, movement ecology, population genetics, molecular species identification and community ecology. Nerea Abrego is a post-doctoral researcher at the University of Helsinki. After obtaining her Ph.D. in fungal ecology, she expanded her research to genera community ecology. She has published thirty papers, many of which relate to recent developments in joint species distribution modelling.
Release date Australia
June 11th, 2020
Audience
  • Professional & Vocational
Illustrations
Worked examples or Exercises; 17 Plates, color; 5 Halftones, black and white; 112 Line drawings, black and white
Pages
388
Dimensions
156x235x22
ISBN-13
9781108492461
Product ID
32238611

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