Goodness-of-fit test for complete spatial randomness against mixtures of regular and clustered spatial point processes
成果类型：
Article
署名作者：
Grabarnik, P; Chiu, SN
署名单位：
Russian Academy of Sciences; Pushchino Scientific Center for Biological Research (PSCBI) of the Russian Academy of Sciences; Institute of Physicohemical & Biological Problems of Soil Science; Hong Kong Baptist University
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/89.2.411
发表日期：
2002
页码：
411421
关键词：
摘要：
A goodness-of-fit test statistic for spatial point processes is proposed and shown to have an asymptotic chi-squared distribution if the underlying point process is Poisson. Simulations demonstrate that the test, when testing for complete spatial randomness, is more sensitive to mixtures of regular and clustered point processes than the tests using the nearest neighbour distance distribution, the second- or third-order characteristics.