Testing local independence between two point processes.
Dependencies between two types of points in a spatial point process can be due either to a real dependence between the two types or to the dependence on common underlying variables. We propose a global test for dependence between two point processes that is valid for a wide range of models. In contrast with previously proposed methods, it is based on a number of local test statistics, which makes it possible to map the local association between the two processes. The behavior of the test is evaluated by a simulation study. It is then applied to a vegetation pattern data set from Burkina Faso.
Allard
D
D
Institut National de la Recherche Agronomique, Unité de Biométrie, Domaine Saint-Paul, Avignon, France. allard@avignon.inra.fr
Brix
A
A
Chadoeuf
J
J
D002050:Burkina Faso; D002980:Climate; D003198:Computer Simulation; D008390:Markov Chains; D015233:Models, Statistical; D015999:Multivariate Analysis; D018521:Plant Physiological Phenomena; D016012:Poisson Distribution