Grabarnik, PavelSärkkä, Aila2011-02-182011-02-181998-08-010349-8034http://hdl.handle.net/2077/24538We introduce a class of spatial point processes, interacting neighbour processes, where the density of the process can be written by means of local interactions between a point and subsets of its neighbourhood but where the processes are not Markov processes with respect to this neighbourhood in the Ripley-Kelly sense. However, we show that the processes are nearest neighbour Markov processes as introduced by Baddeley and Moller (1989). Furthermore, we introduce a subclass of interacting neighbour processes, full neighbourhood interaction processes, where instead of subsets of the neighbourhood all neighbours of a point affect it simultaneously. A simulation study is presented to show that some simple full neighbourhood interaction models can produce clustered patterns of great variety. Finally, an empirical example is given.24engClustered point patternslocal interactionsstatic and dynamic neighboursRipley-Kelly Markov processesearest neighbour Markov processesText