Comparing distribution of harbour porpoise using generalized additive models and hierarchical Bayesian models with integrated nested laplace approximation

Laura D. Williamson,Beth E. Scott,Megan Laxton,Janine B. Illian,Victoria L. G. Todd,Peter I. Miller,Kate L. Brookes

Ecological Modelling（2022）

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摘要

•Comparing predicted distribution of harbour porpoise using GAM & HBM-INLA with LGCP.•Predictions were similar but HBM-INLA captured finer-scale patterns in distribution.•Differences due to autocorrelation, clustering & discrete vs. continuous space.•Both suitable for large-scale analysis, but HBM-INLA has advantages for small scale.

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关键词

Bayesian model,Generalized additive model (GAM),Integrated nested laplace approximation (INLA),Harbour porpoise,Species distribution model

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