Titre :
|
Spatial methods for line transect surveys
|
Auteurs :
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A. Cowling
|
Type de document :
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article/chapitre/communication
|
Année de publication :
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1998
|
Format :
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828-839
|
Langues:
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= Anglais
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Mots-clés:
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clustered populations
;
complete spatial randomness
;
detection function
;
K-function
;
line transect survey
;
Neyman-Scott Poisson process
;
Biometrie
;
Repartition spatiale
;
Randomness
;
Surdispersion
;
Loi de probabilite
|
Résumé :
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Line transect surveys have traditionally been used only to estimate the mean intensity of an underlying spatial point process. In this paper, we propose a test for complete spatial randomness and a method of estimating the clustering parameters in a simplified Neyman-Scott Poisson model, using observations collected in a line transect survey with a Gaussian detection function. These procedures use only the coordinate in the direction of the transect line. In simulation studies we compare the performance of a one-dimensional test for complete spatial randomness and a test based on the traditionally most powerful two-dimensional test. We also examine the bias and variance of the clustering parameter estimates obtained using the one-dimensional procedure. We apply the methods to data collected in a line transect survey for minke whales in the northeastern Atlantic.
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Source :
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Biometrics - 0006-341 X, vol. 54, n° 3
|