Beginner's guide to spatial, temporal and spatial-temporal ecological data analysis with R-INLA

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.

Bibliographic Details

Main Authors:	Zuur, Alain F. autor, Ieno, Elena N. autora, Saveliev, Anatoly A. autor
Format:	Texto biblioteca
Language:	eng
Published:	Newburgh, Scotland Highland Statistics Ltd 2017
Subjects:	Modelos lineales (Estadística), Métodos estadísticos, R (Lenguaje de programación para computadora), Ecología,
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