Goodness-of-fit test for complete spatial randomness against mixtures of regular and clustered spatial point processes
针对规则与聚集空间点过程混合的完全空间随机性拟合优度检验
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.