Creates an instance of Ord's point process model which can then be fitted to point pattern data.
Positive number giving the threshold value for Ord's model.
An object of class
describing the interpoint interaction
structure of a point process.
Ord's point process model (Ord, 1977) is a Gibbs point process of infinite order. Each point \(x_i\) in the point pattern \(x\) contributes a factor \(g(a_i)\) where \(a_i = a(x_i, x)\) is the area of the tile associated with \(x_i\) in the Dirichlet tessellation of \(x\). The function \(g\) is simply \(g(a) = 1\) if \(a \ge r\) and \(g(a) = \gamma < 1\) if \(a < r\), where \(r\) is called the threshold value.
This function creates an instance of Ord's model with a given
value of \(r\). It can then be fitted to point process data
Baddeley, A. and Turner, R. (2000) Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283--322.
Ord, J.K. (1977) Contribution to the discussion of Ripley (1977).
Ord, J.K. (1978) How many trees in a forest? Mathematical Scientist 3, 23--33.
Ripley, B.D. (1977) Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, Series B, 39, 172 -- 212.