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We develop methods for analysing the ‘interaction’ or dependence between points in a spatial point pattern, when the pattern is spatially inhomogeneous. Completely non‐parametric study of interactions is possible using an analogue of the K ‐function. Alternatively one may assume a semi‐parametric model in which a (parametrically specified) homogeneous Markov point process is subjected to (non‐parametric) inhomogeneous independent thinning. The effectiveness of these approaches is tested on datasets representing the positions of trees in forests.
Baddeley et al. (Wed,) studied this question.