Book contents
- Joint Species Distribution Modelling
- Ecology, Biodiversity and Conservation
- Joint Species Distribution Modelling
- Copyright page
- Contents
- Preface
- Acknowledgements
- Part I Introduction to Community Ecology
- Part II Building a Joint Species Distribution Model Step by Step
- 5 Single-Species Distribution Modelling
- 6 Joint Species Distribution Modelling
- 7 Joint Species Distribution Modelling
- 8 Bayesian Inference in HMSC
- 9 Evaluating Model Fit and Selecting among Multiple Models
- Part III Applications and Perspectives
- Epilogue
- References
- Index
5 - Single-Species Distribution Modelling
from Part II - Building a Joint Species Distribution Model Step by Step
Published online by Cambridge University Press: 18 May 2020
- Joint Species Distribution Modelling
- Ecology, Biodiversity and Conservation
- Joint Species Distribution Modelling
- Copyright page
- Contents
- Preface
- Acknowledgements
- Part I Introduction to Community Ecology
- Part II Building a Joint Species Distribution Model Step by Step
- 5 Single-Species Distribution Modelling
- 6 Joint Species Distribution Modelling
- 7 Joint Species Distribution Modelling
- 8 Bayesian Inference in HMSC
- 9 Evaluating Model Fit and Selecting among Multiple Models
- Part III Applications and Perspectives
- Epilogue
- References
- Index
Summary
This chapter covers the basics of generalised linear mixed models in the univariate context of single-species distribution modelling. The chapter starts by discussing how species distribution models relate to the theory on environmental species niches. The modelling part of the chapter first introduces the linear model, then moves to generalised models, then to mixed models with both fixed and random effects, and finally describes how the explained variance can be partitioned among the explanatory variables. The applied part of the chapter uses both simulated and real data to illustrate how the R-package HMSC-R can be used to analyse generalised linear mixed models. While these analyses are rather standard and could also be conducted with many other packages, the reader is encouraged to go through them, as they provide the simplest way of becoming familiar with the syntax of HMSC-R.
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- Joint Species Distribution ModellingWith Applications in R, pp. 53 - 103Publisher: Cambridge University PressPrint publication year: 2020
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