. The linear contact distribution function is shown to be continuously differentiable for any stationary random closed set, which implies the existence of a continuous density and hazard rate. Moreover, it is proved that the density is monotone decreasing. When the linear contact distribution function is estimated from observations in a bounded window, the distance to the set of interest from a fixed point in a given linear direction is right-censored by its distance to the boundary of the window. We develop a Kaplan-Meier type estimator for the linear contact distribution function and hazard rate. We show that the new estimator has a ratio-unbiasedness property and that it is an absolutely continuous distribution function. A CLT is derived for independent replications within a fixed observation window. The techniques are applied to the analysis of spatial patterns in acid milk. The feature of replication of the images and the CLT for the estimator give confidence bounds on the estimat...

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