Comparing the performances of Diggle's tests of spatial randomness for small samples with and without edge-effect correction: Application to ecological data

Diggle's tests of spatial randomness based on empirical distributions of in terpoint distances can be performed with and without edge-effect correction . We present here numerical results illustrating that tests without the edg e-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for small. sample sizes than those with correction. Ignoring the correction enables detection of departure from spatial randomness with smaller samples (down to 10 points vs. 30 points for the tests with correct ion). These results are confirmed by an example with ecological data consis ting of maps of two species of trees in a West African savanna. Tree number s per species per map were often less than 20. For one of the species, for which maps strongly suggest an aggregated pattern, tests without edge-effec t correction enabled rejection of the null hypothesis an three plots out of five vs. on only one for the tests with correction.