Quasi-plus sampling edge correction for spatial point patterns

André Tscheschel, Sung Nok CHIU*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5287-5295
Number of pages9
JournalComputational Statistics and Data Analysis
Volume52
Issue number12
DOIs
Publication statusPublished - 15 Aug 2008

Scopus Subject Areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Quasi-plus sampling edge correction for spatial point patterns'. Together they form a unique fingerprint.

Cite this