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Skip to Search Results- 17University of Alberta Department of Anthropology
- 9Bryan, Alan L., Dr.
- 9Gruhn, Dr. Ruth
- 8Mitchell, A. H.
- 6Mark A. Lewis
- 4Jonathan R. Potts
- 17Anthropology, Department of
- 17Anthropology, Department of/Bryan/Gruhn Archaeology Collection
- 12Biological Sciences, Department of
- 12Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 8Graduate and Postdoctoral Studies (GPS), Faculty of
- 8Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Arturo Sanchez-Azofeifa (Department of Earth and Atmospheric Sciences)
- 1Boutin, Stan (Biological Sciences)
- 1De Vries, Gerda (Mathematical and Statistical Sciences)
- 1Dr. Erin Bayne - Department of Biological Sciences
- 1Dr. Troy Wellicome - Department of Biological Sciences
- 1Frost, Carol (Renewable Resources)
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2017-11-25
Juliana M. Berbert, Mark A. Lewis
Animal search patterns are governed by the various movement strategies undertaken when animals encounter stimuli. The stimuli caused by resource growth and depletion can modify search patterns due to the need to finding resources. In this paper, we investigate the influence of resource depletion...
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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...
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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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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...