TDAI Core Faculty Member Gil Bohrer, along with lead author Justine Missik and a team of Ohio State researchers, has developed ECODATA, a new open-source software suite designed to simplify the analysis and visualization of complex animal tracking data. Published in Methods in Ecology and Evolution, ECODATA addresses the challenge ecologists face in integrating massive datasets—like wildlife location observations and remote sensing data—by processing them into customizable, dynamic map animations. Bohrer notes that the tool doesn't create new information, but instead makes data "easy and accessible" so users can quickly understand an ecosystem and test hypotheses, allowing scientists without advanced programming skills to create powerful visualizations that illustrate study results and support conservation efforts.

The power of ECODATA was demonstrated through two key case studies that provided visual insights for wildlife managers. For instance, in Banff National Park, the software animated the movements of elk and wolves, revealing that both species spend time near major highways during peak traffic volumes—critical information for mitigation planning. A second case study informed caribou management by visualizing their movements during birthing season, revealing previously unrecognized seasonal territory. This dual utility confirms ECODATA's value as a versatile resource that helps identify high-stakes conservation situations, ultimately supporting effective, sustainable decision-making for protecting wildlife.

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