Beginner's guide to spatial, temporal and spatial-temporal ecological data analysis with R-INLA - Volume I: Using GLM and GLMM
Zuur, A.F.; Ieno, E.N.; Saveliev, A. (2017). Beginner's guide to spatial, temporal and spatial-temporal ecological data analysis with R-INLA - Volume I: Using GLM and GLMM. Highland Statistics Ltd.: Newburgh. ISBN 978-0-9571741-9-1. 362 pp.
Continued by:Zuur, A.F.; Ieno, E.N.; Saveliev, A. (2018). Beginner's guide to spatial, temporal and spatial-temporal ecological data analysis with R-INLA - Volume II: GAM and zero-inflated models. Highland Statistics Ltd.: Newburgh. ISBN 978-0-9571741-4-6. 363-714 pp., more
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| Authors | | Top |
- Zuur, A.F.
- Ieno, E.N.
- Saveliev, A.
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| Abstract |
In Volume I we explain how to apply linear regression models, generalised linear models (GLM), and generalised linear mixed-effects models (GLMM) to spatial, temporal, and spatial-temporal data. The models that will be employed use the Gaussian and gamma distributions for continuous data, the Poisson and negative binomial distributions for count data, the Bernoulli distribution for absence–presence data, and the binomial distribution for proportional data. |
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