Species Distribution Model: Generalized Additive ModelModel Category: Regression Model Description: Used for fitting non-linear functions. Builds upon the Generalized Linear Model by replacing the linear predictor with an additive predictor (Hastie and Tibshirani 1986) which is useful for modelling more complex ecological responses (e.g., Elith et al. 2006). Model Assumptions: Absence of interaction effects (see link) Effects of the covariates on the response are additive (e.g., Swartzman et al. 1992) Data fits a specific distribution (e.g., Swartzman et al. 1992) Model Response Data: Presence and absence Model Explanatory Data: Categorical or continuous (see Lehmann 1998) Model Links and Use with R: CRAN package ‘mcgv’ see page 36 Generalized additive models: an introduction with R (Wood 2006) also see: Hastie, T., and R. Tibshirani. 1986. Generalized additive models. Statistical Science 1(3):297-310. Example Papers: Example with R: GAM EXAMPLE
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Spatial Ecology @ MSUClick on "Category" below to search for R code compiled by the Zarnetske Spatial & Community Ecology Lab and students in MSU's Spatial Ecology graduate course (FOR870/FW870) Category
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