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Modelling tree roots in mixed forest stands by inhomogeneous marked Gibbs point processes.

Stefanie Eckel ; Frank Fleischer ; Pavel Grabarnik ; Marian Kazda ; Aila Särkkä (Institutionen för matematiska vetenskaper, matematisk statistik) ; Volker Schmidt
Biometrical Journal (0323-3847). Vol. 51 (2009), p. 522-539.
[Artikel, refereegranskad vetenskaplig]

The aim of the paper is to apply point processes to root data modelling. We propose a new approach to parametric inference when data are inhomogeneous replicated marked point patterns.} We generalize Geyer's saturation point process to a model which combines inhomogeneity, marks and interaction between the marked points. Furthermore, the inhomogeneity influences the definition of the neighborhood of points. Using the maximum pseudolikelihood method, this model is then fitted to root data from mixed stands of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.) to quantify the degree of root aggregation in such mixed stands. According to the analysis there is no evidence that the two root systems are dependent.

Denna post skapades 2009-12-11. Senast ändrad 2017-07-03.
CPL Pubid: 103323


Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)


Annan matematik

Chalmers infrastruktur