DANL/ECON 399
  • Brightspace
  • DANL 310
  • Materials
    • Lecture Slides
    • Classwork
  • Course Path
    • Data Lab
    • Methods Path
    • Research Track
    • Solar Adoption Guide
    • Semester Map
  • Milestones
    • Research Proposal
    • Research Kick-off Report
    • Progress Report
    • Final Comprehensive Exam
    • Research Paper
  • Code
    • Start Here
      • Home
      • Semester map
      • Syllabus
      • Data lab
      • Git, GitHub & Quarto
    • Weekly Roadmap
      • 01 · Frame the study
      • 02 · Literature + evidence
      • 03 · Research design
      • 04 · Units + identification · Coming soon
      • 05 · Data acquisition · Coming soon
      • 06 · Transform in R · Coming soon
      • 07 · Visual evidence · Coming soon
      • 08 · Break + spatial restart · Coming soon
      • 09 · Kick-off + mapping · Coming soon
      • 10 · Spatial analysis · Coming soon
      • 11 · Machine-learning design · Coming soon
      • 12 · Fit + compare models · Coming soon
      • 13 · Validate + interpret · Coming soon
      • 14 · Policy synthesis · Coming soon
      • 15 · Integrated argument · Coming soon
      • 16 · Paper + final review · Coming soon
    • Shared Research Project
      • Solar adoption research guide

    DANL/ECON 399 · Environmental Data Science Instructor: Byeong-Hak Choe SUNY Geneseo · Fall 2026

    Lecture slides for DANL/ECON 399 Environmental Data Science at SUNY Geneseo.
    Author

    Course library

    Lecture slides

    Research design, environmental data workflows, visualization, spatial analysis, and machine learning in R.

    Tip

    Slides are designed for live delivery. Press F for fullscreen, T to change the theme, and use the arrow keys to navigate.

    Title Subtitle Date
    Lecture 1 Syllabus and Course Outline August 24, 2026
    Lecture 2 Data Transformation with dplyr August 26, 2026
    Lecture 3 Solar Adoption Data: Measurement, Theory, and Research Design August 31, 2026
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