1 Department of Mathematical Sciences, The Faculty of Engineering and Science, Aalborg University, VBN2 University of St. Andrews3 University of St. Andrews
A complex multivariate spatial point pattern of a plant community with high biodiversity is modelled using a hierarchical multivariate point process model. In the model, interactions between plants with different post-fire regeneration strategies are of key interest. We consider initially a maximum likelihood approach to inference where problems arise due to unknown interaction radii for the plants. We next demonstrate that a Bayesian approach provides a flexible framework for incorporating prior information concerning the interaction radii. From an ecological perspective, we are able both to confirm existing knowledge on species' interactions and to generate new biological questions and hypotheses on species' interactions.
Environmental and Ecological Statistics, 2009, Vol 16, Issue 3, p. 389-405