Department of Mathematics
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.
Complete spatial randomness, Spatial point patterns
Source Publication Title
Journal of Statistical Computation and Simulation
Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Statistical Computation and Simulation in November 2007, available online: http://dx.doi.org/10.1080/10629360600989147.
This research was partially supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Numbers HKBU2048/02P and HKBU200503) and an FRG grant of the Hong Kong Baptist University.
Link to Publisher's Edition
Chiu, S. (2006). Correction to Koen's critical values in testing spatial randomness. Journal of Statistical Computation and Simulation, 11 (77), 1001-1004. https://doi.org/10.1080/10629360600989147