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PubMed · 11414577

Testing local independence between two point processes.

D Allard·A Brix·J Chadoeuf
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Abstract

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.

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Burkina FasoClimateComputer SimulationMarkov ChainsModels, StatisticalMultivariate AnalysisPlant Physiological PhenomenaPoisson DistributionJournal Article

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BibTeXRIS

D Allard, A Brix, J Chadoeuf. 2001. Testing local independence between two point processes.. https://doi.org/10.1111/j.0006-341x.2001.00508.x

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