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Titre :
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Testing local independence between two point processes
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Auteurs :
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D. Allard ;
A. Brix ;
J. Chadoeuf
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Type de document :
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article/chapitre/communication
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Année de publication :
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2001
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Format :
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508-517
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Langues:
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= Anglais
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Mots-clés:
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independence test
;
inhomogeneous point processes
;
local test
;
Monte Carlo
;
nonstationarity
;
rotations
;
spatial pattern
;
tiger bush
;
Biometrie
;
Repartition spatiale
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Résumé :
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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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Source :
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Biometrics - 0006-341 X, vol. 57, n° 2
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