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Title: Bayesian point process modelling of ecological communities
Author: Nightingale, Glenna Faith
ISNI:       0000 0004 2738 1309
Awarding Body: University of St Andrews
Current Institution: University of St Andrews
Date of Award: 2013
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The modelling of biological communities is important to further the understanding of species coexistence and the mechanisms involved in maintaining biodiversity. This involves considering not only interactions between individual biological organisms, but also the incorporation of covariate information, if available, in the modelling process. This thesis explores the use of point processes to model interactions in bivariate point patterns within a Bayesian framework, and, where applicable, in conjunction with covariate data. Specifically, we distinguish between symmetric and asymmetric species interactions and model these using appropriate point processes. In this thesis we consider both pairwise and area interaction point processes to allow for inhibitory interactions and both inhibitory and attractive interactions. It is envisaged that the analyses and innovations presented in this thesis will contribute to the parsimonious modelling of biological communities.
Supervisor: Illian, Janine; King, Ruth Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Point processes ; Bayesian framework ; Ecological interactions ; RJMCMC