Abstract
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.
Original language | English |
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Pages (from-to) | 411-421 |
Number of pages | 11 |
Journal | Biometrika |
Volume | 89 |
Issue number | 2 |
DOIs | |
Publication status | Published - Jun 2002 |
Scopus Subject Areas
- Statistics and Probability
- General Mathematics
- Agricultural and Biological Sciences (miscellaneous)
- General Agricultural and Biological Sciences
- Statistics, Probability and Uncertainty
- Applied Mathematics
User-Defined Keywords
- Clustered point pattern
- Forest stand
- Goodness of fit
- Poisson process
- Regular point pattern