Beginner's guide to spatial, temporal and spatial-temporal ecological data analysis with R-INLA Alain F. Zuur, Elena N. Ieno, Anatoly A. Saveliev
Tipo de material:
- Texto
- Sin medio
- Volumen
- 0957174195
- 9780957174191 (Volumen I)
- 9780957174146 (Volumen II)
- 519.5 Z8
Volumen I. Using GLM and GLMM -- Volumen II. GAM and zero-inflated models
Incluye bibliografía: páginas 347-352 e índice: páginas 353-253
This title consists of two volumes. Volume 2 explains how to apply zero-inflated models and generalised additive (mixed-effects) models to spatial and spatial-temporal data, which is typical of the messy, real-world data obtained by biologists. After explaining how to deal with zero-inflated data, the authors introduce so-called zero-inflated Poisson (ZIP) models, zero-inflated negative binomial (ZINB) models, zero-altered Poisson (ZAP) models and zero-altered negative binomial (ZINB) models, and then extend all these to models with spatial correlation. Examples of datasets analysed include begging behaviour of owl nestlings, sandeel count data, zero-inflated bird densities sampled in the Labrador Sea, coral reef data sampled around an island, and aggregated tornado data in 102 counties in Illinois. Inglés