Correction to Koen's critical values in testing spatial randomness

Sung Nok Chiu*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)
14 Downloads (Pure)


Using Ripley's K-function in testing spatial randomness, Koen's estimated critical values deviated notably from Ripley's approximation formula; the former, however, came from an incorrect algorithm. This paper reports new estimates, which agree very well with Ripley's approximation and recommends that the approximation formula can be used instead of Monte-Carlo tests.

Original languageEnglish
Pages (from-to)1001-1004
Number of pages4
JournalJournal of Statistical Computation and Simulation
Issue number11
Publication statusPublished - Jan 2007

Scopus Subject Areas

  • Statistics and Probability
  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

User-Defined Keywords

  • Complete spatial randomness
  • Spatial point patterns


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