TY - RPRT
T1 - Spatial point process analysis for a plant community with high biodiversity
AU - Illian, Janine
AU - Møller, Jesper
AU - Waagepetersen, Rasmus Plenge
PY - 2006
Y1 - 2006
N2 - A complex multivariate spatial point pattern for 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.
AB - A complex multivariate spatial point pattern for 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.
M3 - Report
T3 - Research Report Series
BT - Spatial point process analysis for a plant community with high biodiversity
PB - Department of Mathematical Sciences, Aalborg University
ER -