We consider a data set comprising encounters between gray seals off Sable
Island in the autumn of 2009. We apply Spatial Point Pattern data analysis
approaches to this data set and demonstrate the effectiveness of these
techniques. Specifically we propose using point processes for clustered
data; the Inhomogeneous Poisson process, and the subset of cluster
processes called Cox processes. We utilize maximum likelihood methods to
produce a model for the mean intensity of the seal encounters which
includes spatial covariates. We then consider the impact of inhomogeneity
and review minimum contrast methods for fitting the Cox process models,
specifically the Thomas and Matern cluster processes. We demonstrate that
these methods allow us to gain valuable insight into the nature and extent
of grey seal encounters at sea. Finally we validate both our conclusions
and the approach taken using the most recent data available, that of
autumn 2010.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:NSHD.ca#10222/14382 |
| Date | 09 December 2011 |
| Creators | Carson, Stuart |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
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