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Skip to Search Results- 3Generalized linear mixed model
- 2Animal movement
- 2Conditional autoregressive
- 2Geographic epidemiology
- 2Step selection functions
- 1Campylorhynchus rufinucha
- 2Rosychuk, Rhonda J.
- 2Torabi, Mahmoud
- 1Bastille-Rousseau, G.
- 1Beyer, H. L.
- 1Gillies, C. S.
- 1Lewis, M.A.
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Predicting local and nonlocal effects of resources on animal space use using a mechanistic step-selection function.
Download2013
Schaefer, J., Bastille-Rousseau, G., Murray, D., Lewis, M.A., Potts, J.R.
Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is...
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Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
Download2011
Torabi, Mahmoud, Rosychuk, Rhonda J.
To analyze childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004, we construct a generalized linear mixed model for the analysis of geographic and temporal variability of cancer rates. In this model, spatially correlated random e®ects and temporal components are adopted....
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2011
St. Clair, C. C., Beyer, H. L., Gillies, C. S.
The persistence of forest-dependent species in fragmented landscapes is fundamentally linked to the movement of individuals among subpopulations. The paths taken by dispersing individuals can be considered a series of steps built from individual route choices. Despite the importance of these...
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2010
Rosychuk, Rhonda J., Torabi, Mahmoud
This paper studies generalized linear mixed models (GLMMs) for the analysis of geographic and temporal variability of disease rates. This class of models adopts spatially correlated random effects and random temporal components. Spatio-temporal models that use conditional autoregressive smoothing...