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Spatial methods for line transect surveys
journal contribution
posted on 2023-05-16, 11:19 authored by Cowling, ALine 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.
History
Publication title
BiometricsVolume
54Pagination
828-839ISSN
0006-341XDepartment/School
School of Natural SciencesPublisher
Blackwell Publishing LtdPlace of publication
9600 Garsington Rd, Oxford, England, Oxon, Ox4 2DgRepository Status
- Restricted