ANALYTICAL WORKFLOWS FOR EARTH SYSTEMS SCIENCE

Catalog description

Explores data science methods used to gather, validate, organize, analyze, and summarize large amounts of environmental and ecological information. Focuses on developing analytical workflows that are efficient, reproducible, and modular using tools such as the R coding language, RStudio, GitHub, and JupyterLab. Examines case studies including climate change, biodiversity assessments, epidemic modeling, marine spatial planning, and natural resource management.