Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/4041

Title: Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills
Authors: Zuur, Alain
Mira, António
Carvalho, Filipe
Ieno, Elena
Saveliev, A.A
Smith, G.M
Walker, N.J
Keywords: Road-kills
Amphibians
GAM
GAMM
Negative Binomial
Issue Date: 2009
Publisher: Springer
Citation: Zuur, A.F.; A. Mira; F. Carvalho; E.N. Ieno; A.A. Saveliev; G.M. Smi & N. Walker (2009). Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills. In: Zuur, A.F.; E.N. Ieno, N. Walker, & G.M. Smith, Mixed effects models and extensions in ecology with R. Springer; New York, pp: 383-397
Abstract: This chapter analyses amphibian fatalities along a road in Portugal. The data are counts of kills making a Gaussian distribution unlikely; restricting our choice of techniques. We began with generalised linear models (GLM) and generalised addi- tive models (GAM) with a Poisson distribution, but these models were overdis- persed. To solve this, you can either apply a quasi-Poisson GLM or GAM, or use the negative binomial distribution (Chapter 9). In this particular example, either approaches can be applied as the overdispersion was fairly small (around 5), but with many ecological data sets it can be considerably larger, in which case the negative binomial GLM (or GAM) is the natural choice. As many textbooks give examples using quasi-Poisson GAMs and GLMs and only a few using the negative binomial, we decided to use the negative binomial distribution. We chose GAM because the relationships between roadkills and explanatory variables were non-linear. We address issues like collinearity, residual patterns, and spatial correlations.
URI: http://www.springer.com/life+sciences/ecology/book/978-0-387-87457-9
http://hdl.handle.net/10174/4041
ISBN: 978-0-387-87457-9
Type: bookPart
Appears in Collections:ICAAM - Publicações - Capítulos de Livros
BIO - Publicações - Capítulos de Livros

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