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Applied Data Analysis for Natural Resource Decision-Making

Analytical Thinking

Course Description

This course focuses on applying reproducible data analysis workflows to real-world natural resource decision-making. Students work with authentic datasets from forestry, wildlife, fisheries, hydrology, and human dimensions to produce management-ready analyses and automated reports using R and Quarto.


Athena Title

Applied Data Nat Res Decisions


Equivalent Courses

Not open to students with credit in FANR 5050, FANR 7050


Non-Traditional Format

This course will be taught 95% or more online.


Semester Course Offered

Offered fall


Grading System

A - F (Traditional)


Student learning Outcomes

  • By the end of the course, students will be able to apply reproducible R workflows to support natural resource management decisions.
  • By the end of the course, students will be able to import, clean, document, and integrate diverse environmental and ecological datasets.
  • By the end of the course, students will be able to create clear, decision-oriented visualizations and summaries.
  • By the end of the course, students will be able to analyze specialized data types including survey, temporal, and camera-trap data.
  • By the end of the course, students will be able to evaluate data quality, uncertainty, bias, and limitations relevant to management contexts.
  • By the end of the course, students will be able to communicate results effectively through reproducible, automated reports for technical and non-technical audiences.

Topical Outline

  • Reproducible workflows and data management principles
  • Importing, cleaning, and integrating environmental and ecological data
  • Data visualization and exploratory analysis for management contexts
  • Analysis of specialized data types (survey data, temporal data, sensor and imagery-derived data)
  • Working with large, multi-source, and externally maintained datasets
  • Evaluating data quality, uncertainty, bias, and limitations
  • Automation and reproducible reporting for analytical communication
  • Appropriate use of artificial intelligence in environmental data analysis
  • Translating analytical results into management-relevant insights

Institutional Competencies Learning Outcomes

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.