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- 3Generalized linear mixed model
- 2Tropical dry forests
- 1Animal movement
- 1Campylorhynchus rufinucha
- 1Coffee
- 3Graduate and Postdoctoral Studies (GPS), Faculty of
- 3Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Biological Sciences, Department of
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 1Pediatrics, Department of
- 1Pediatrics, Department of/Emergency Medicine
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Fall 2012
This thesis is an anthropological study of the interactions between the coffee industry and the tourism industry in Costa Rica. It focuses on how coffee production, marketing and consumption have been affected by the presence of tourists and how tourists come in contact with coffee. I conducted...
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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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Opportunities and challenges for the pursuit of sustainability under globalization: A study from Costa Rica
DownloadFall 2009
Globalization and human-domination of the globe have increased the complexity, scope and pace of human-environment interactions in ways that have fundamentally reconfigured the opportunities and challenges for sustainability. As a result, what society needs from science has shifted. Society and...
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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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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...