Edinburgh Research Explorer

Area interaction point processes for bivariate point patterns in a Bayesian context

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Accepted author manuscript, 3.32 MB, PDF document

    Licence: Creative Commons: Attribution (CC-BY)

http://www.jenvstat.org/v09/i02
Original languageEnglish
Number of pages21
JournalJournal of Environmental Statistics
Volume9
Issue number2
Publication statusPublished - 30 Sep 2019

Abstract

In this paper we consider bivariate point patterns which may contain both attractive and inhibitive interactions. The two subpatterns may depend on each other with both intra- and interspecific interactions possible. We use area interaction point processes for quantifying both attractive and inhibitive interactions in contrast to pairwise interaction point processes, typically model regular point patterns. The ability to permit both attraction and repulsion is a valuable feature and allows for the modelling of different forms of interactions in a given community. The differentiation between intra- and interspecific
interactions in one model accounts for the fact that the presence of a second species may \mask" or \magnify" existing intraspecific interactions. A Bayesian approach has been applied for estimating interaction parameters and for discriminating between eight competing research hypotheses. For the particular application to modelling the interactions of species in a highly biodiverse forest, this study reveals posterior support for an interspecific interaction of attraction between the two species considered and may serve to inform forest rehabilitation schemes relating to this forest. Overall, knowledge of the interactions of key species in any given forest would be invaluable to reforestation efforts if this forestis later ravaged by wildfires.

Download statistics

No data available

ID: 113882704