The use of Ripley’s K(t) function for analysis of spatial structure of tree stands has recently become easier due to the growing availability of advanced software. Unfortunately not every data set is suitable for analysis with classical estimator of K(t) function. Large directional differences in density of trees in analysed region cause that estimators suggest aggregated distribution of tress even if it is not true. This paper presents the review of proposals to solve this problem based on dividing of the analysed region into homogeneous sub-regions. Analyses carried out on separate sub-regions can furnish viable information about spatial structure of tree stand. Besides, examples of such analyses made with commonly available non commercial software are presented.

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