Hierarchical spatial point process analysis for a plant community with high biodiversity

Illian, J. B. , Møller, J. and Waagepetersen, R. P. (2009) Hierarchical spatial point process analysis for a plant community with high biodiversity. Environmental and Ecological Statistics, 16(3), pp. 389-405. (doi: 10.1007/s10651-007-0070-8)

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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.

Item Type:Articles
Additional Information:. Supported by the Danish Natural Science Research Council, grant 272-06-0442, ‘Point process modelling and statistical inference’.
Glasgow Author(s) Enlighten ID:Illian, Professor Janine
Authors: Illian, J. B., Møller, J., and Waagepetersen, R. P.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Environmental and Ecological Statistics
ISSN (Online):1573-3009
Published Online:13 December 2007

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