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Skip to Search Results- 4Generalized linear mixed model
- 3Animal movement
- 3Partial differential equations
- 2Conditional autoregressive
- 2Geographic epidemiology
- 2Mathematical ecology
- 2Jonathan R. Potts
- 2Mark A. Lewis
- 2Rosychuk, Rhonda J.
- 2Torabi, Mahmoud
- 1Beyer, H. L.
- 1Gillies, C. S.
- 3Biological Sciences, Department of
- 3Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 2Graduate and Postdoctoral Studies (GPS), Faculty of
- 2Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Mathematical and Statistical Sciences, Department of
- 2Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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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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Modelling process dynamics by the discovery of partial differential equations using a data-driven and hybrid modelling approach
DownloadFall 2021
The abundance of data and advances in data acquisition technologies have made data-driven approaches attractive to solve a multitude of problems. Differential equations deliver underlying models for most physical processes. Obtaining the fundamental physics underlying any data in the form of...
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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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Fall 2011
Timely, accurate predictions of potential influenza epidemics are essential for healthcare providers and policy makers as the epidemics can result in heavy demands for health services. Current statistical modeling of surveillance data has limited prediction abilities and often fails to respond...
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2015-01-01
Jonathan R. Potts, Mark A. Lewis
Territoriality is a phenomenon exhibited throughout nature. On the individual level, it is the processes by which organisms exclude others of the same species from certain parts of space. On the population level, it is the segregation of space into separate areas, each used by subsections of the...
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The “edge effect” phenomenon: deriving population abundance patterns from individual animal movement decisions
Download2016-01-01
Jonathan R. Potts, Thomas Hillen, Mark A. Lewis
Edge effects have been observed in a vast spectrum of animal populations. They occur where two conjoining habitats interact to create ecological phenomena that are not present in either habitat separately. On the individuallevel, an edge effect is a change in behavioral tendency on or near the...