Welcome to the UCF Ecoinformatics Lab, where we focus on the development and application of computational statistical tools for ecology, evolution, and conservation. We are currently recruiting PhD students, master’s students, and undergraduate students; and will soon be advertising for postdocs. We are especially interested in undergraduate biology majors that have made it through calculus (MAC2233), statistics (STA2023), and programming (BSC4456C), and majors from other disciplines (mathematics, physics, statistics, engineering and computer science) who want to apply their quantitative skills to conservation.
Uncovering periodic patterns of space use in animal tracking data with periodograms, including a new algorithm for the Lomb-Scargle periodogram and improved randomization tests, Movement Ecology 4:19, 10.1186/s40462-016-0084-7 (2016)
Estimating where and how animals travel: an optimal framework for path reconstruction from autocorrelated tracking data, Ecology 10.1890/15-1607 (2016)
Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator, Ecology 96, 1182–1188 (2015)
Precipitation, vegetation productivity, and human impacts control home range size of elephants in dryland systems in northern Namibia, Ecology and Evolution 12 9 e9288 (2022)
Movement ecology of vulnerable lowland tapirs between areas of varying human disturbance, Movement Ecology 10 14 (2022)