ENVI 359 - Big Data in Ecology

Cross-Listed as BIOL 359

Ecology and environmental science are increasingly using ‘big data’ to expand and refine research questions. We will examine, analyze, and interpret datasets that represent a wide range of ecological topics and approaches, including nutrient cycling, hydrology, climate change, human and animal migration, satellite remote sensing, and biodiversity. The course will examine recent literature and apply novel analyses using open-access data and code every week. We will build skills in R programming, science communication, data visualization, and critical examination of literature. The course is project-oriented and students will work independently and in small groups to dive deeply into large data using R/RStudio, and produce original analyses and results. Three lecture hours and three hours of laboratory each week. Prerequisite(s): BIOL 170; and STAT 112 or STAT 155 Alternate years. (4 Credits)