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Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty
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dc.contributor.author | Nightingale, Glenna Faith | |
dc.contributor.author | Illian, Janine Baerbel | |
dc.contributor.author | King, Ruth | |
dc.date.accessioned | 2015-10-01T23:12:55Z | |
dc.date.available | 2015-10-01T23:12:55Z | |
dc.date.issued | 2015-09 | |
dc.identifier.citation | Nightingale , G F , Illian , J B & King , R 2015 , ' Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty ' , Journal of Environmental Statistics , vol. 7 , no. 3 . | en |
dc.identifier.issn | 1945-1296 | |
dc.identifier.other | PURE: 220442010 | |
dc.identifier.other | PURE UUID: c23fed04-3416-4c1d-8f66-b222e6808458 | |
dc.identifier.uri | https://hdl.handle.net/10023/7583 | |
dc.description.abstract | Current ecological research seeks to understand the mechanisms that sustain biodiversity and allow a large number of species to coexist. Coexistence concerns inter-individual interactions. Consequently, there is an interest in identifying and quantifying interactions within and between species as reflected in the spatial pattern formed by the individuals. This study analyses the spatial pattern formed by the locations of plants in a community with high biodiversity from Western Australia. We fit a pairwise interaction Gibbs marked point process to the data using a Bayesian approach and quantify the inhibitory interactions within and between the two species. We quantitatively discriminate between competing models corresponding to different inter-specific and intraspecific interactions via posterior model probabilities. The analysis provides evidence that the intraspecific interactions for the two species of the genus Banksia are generally similar to those between the two species providing some evidence for mechanisms that sustain biodiversity. | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Environmental Statistics | en |
dc.rights | Copyright 2015 the Authors. This work is licensed under the following licenses: Paper: Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/). Code: Commons GNU General Public License License (http://creativecommons.org/licenses/GPL/2.0/). | en |
dc.subject | Gibbs point processes | en |
dc.subject | Multivariate spatial point patterns | en |
dc.subject | Reversible jump Markov chain Monte Carlo | en |
dc.subject | HA Statistics | en |
dc.subject | 3rd-DAS | en |
dc.subject.lcc | HA | en |
dc.title | Pairwise interaction point processes for modelling bivariate spatial point patterns in the presence of interaction uncertainty | en |
dc.type | Journal article | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. Geography & Sustainable Development | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.description.status | Peer reviewed | en |
dc.identifier.url | http://www.jenvstat.org/v07/i03 | en |
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