Synthesis Statistics for Ecology and Evolution

1 credits

This course will train students in statistical approaches to synthesizing the highly structured, multisourced datasets that typify ecology and evolution research, including data collation, integration, analysis, and visualization, with a focus on hierarchical models, formal model integration, reducing uncertainty with prior knowledge, and updating models when new information is collected. Students will develop skills in R programming, collaborative research, reproducible workflows, data analysis, and communication.