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Comp Sci Birding: The use of R in ornithology for informing management decisions of species at risk

The increasing use of highly complex models in ecology has led to the need for ecologists to become well-versed in scientific programming languages such as Julia, Python, and R. Environment agent-based models (eABMs) and hierarchical Bayesian models are two classes of computationally expensive models that have gained traction in the conservation community over the last number of years. eABMs allow for the simulation of the life cycle of one or more population of animals and can be used to
inform management decisions of species-at-risk. Hierarchical Bayesian models have been used by North American Breeding Bird Survey researchers to calculate trend estimates for populations of species over time. Given the usefulness of these models, my research focuses on the development of software packages in R to allow researchers easier access to these otherwise complex and computationally expensive models.

Brandon will be tweeting between 1200 – 2200 UTC | 0800 – 1800 EDT about thistopic on Wednesday, 20 March. More details on Elina’s #ORNITHOLODAY

Image credits

Middle right: Piping Plover | USFWSmidwest | PD US FWS | Wikimedia Commons