TY - JOUR
T1 - Hierarchical spatial point process analysis for a plant community with high biodiversity
AU - Illian, Janine B.
AU - Møller, Jesper
AU - Waagepetersen, Rasmus
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
U2 - 10.1007/s10651-007-0070-8
DO - 10.1007/s10651-007-0070-8
M3 - Journal article
SN - 1352-8505
VL - 16
SP - 389
EP - 405
JO - Environmental and Ecological Statistics
JF - Environmental and Ecological Statistics
IS - 3
ER -