Show simple item record

Files in this item


Item metadata

dc.contributor.advisorIllian, Janine
dc.contributor.advisorKing, Ruth
dc.contributor.authorNightingale, Glenna Faith
dc.description.abstractThe 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.en_US
dc.publisherUniversity of St Andrews
dc.subjectPoint processesen_US
dc.subjectBayesian frameworken_US
dc.subjectEcological interactionsen_US
dc.subject.lcshBiotic communities--Mathematical modelsen_US
dc.subject.lcshCoexistence of species--Mathematical modelsen_US
dc.subject.lcshPoint processesen_US
dc.subject.lcshBayesian statistical decision theoryen_US
dc.titleBayesian point process modelling of ecological communitiesen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US

This item appears in the following Collection(s)

Show simple item record