Quasi-plus sampling edge correction for spatial point patterns

André Tscheschel and Sung Nok Chiu

Computational Statistics & Data Analysis, 2008, vol. 52, issue 12, 5287-5295

Abstract: A widely applicable edge correction method for estimating summary statistics of a spatial point pattern is proposed. We reconstruct point patterns in a larger region containing the sampling window by matching sampled and simulated kth nearest neighbour distance distributions of the given pattern and then apply plus sampling. Simulation studies show that this approach, called quasi-plus sampling, gives estimates with smaller root mean squared errors than estimates obtained by using other popular edge corrections. We apply the proposed approach to real data and yield an estimate of a summary statistic that is more plausible than that obtained by a popular edge correction.

Date: 2008
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