Exploring Environmental Data (ENS-215)

Winter 2026

Lectures and Labs	Homework	Syllabus

Lectures

Week 10

• Tue (10-Mar) – Introduction to data modeling (html) (qmd)

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Week 9

• Tue (03-Mar) – Writing functions in R (html) (qmd)

• Thurs (05-Mar) – Introduction to data modeling (html) (qmd)

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Week 8

• Tue (24-Feb) – Spatial analysis: Analyzing and obtaining environmental rasters (html) (qmd)

• Thurs (26-Feb) – Bivariate and time-series data (html) (qmd)

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Week 7

• Tue (17-Feb) – Spatial analysis continued: Introduction to rasters (html) (qmd)

• Thurs (19-Feb) – Descriptive statistics, univariate data, data distributions (html) (qmd)

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Week 6

• Tue (10-Feb) – Finding and accessing environmental data in R (html) (qmd)

• Thurs (12-Feb) – Making maps in R: Introduction (html) (qmd)

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Week 5

• Tues (03-Feb) – Reshaping, cleaning and tidying data (html) (qmd) and Presentation quality graphics (html) (qmd), Slides, Article by Kelleher and Wegener

• Thurs (05-Feb) – Combining/joining data (html) (qmd)

Week 4

• Tues (27-Jan) – Introduction to Data Visualization (continued) (html) (qmd)

• Thurs (29-Jan) – Data visualization (additional topics) (html) (qmd)

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Week 3

• Tues (20-Jan) – Data wrangling group_by() and summarize() (html) (qmd)

• Thurs (22-Jan) – Introduction to Data Visualization Slides

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Week 2

• Tues (13-Jan) – R Programming Basics: Relation and logical operators, if/else, and control flow (html) (qmd)

• Thurs (15-Jan) – Data wrangling intro (html) (qmd)

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Week 1

• Tues (6-Jan) – Course introduction
  In-class examples (qmd), Slides, Cheatsheets

• Thurs (8-Jan) – Diving into R programming and Markdown/Quarto basics

  • Slides
  • R programming and Quarto basics (html) (qmd)
  • Diving into data analysis (html) (qmd)

• Extra credit events – ESPE Winter Seminar Series (The Critical Ocean)

  • Jan 28th (6 PM in the Nott)
  • Feb 4th (6 PM in the Nott)
  • Feb 18th (6 PM in the Nott)

Labs

• Lab 1 – Intro and EPA Fuel Economy Data (html) (qmd)

• Lab 2 – Dams and reservoirs: A global analysis (html) (qmd)

• Lab 3 – Groundwater Arsenic in Bangladesh (html) (qmd)

• Lab 4 – Final project kick-off (html) (qmd)

• Lab 5 – Final project consultations, analysis, and importing data (html) (qmd)

  • Loading data into R (html) (qmd)

• Lab 6 – Additional topics in mapping and final project analysis (html) (qmd)

• Lab 7 – Descriptive statistics, data distributions, and final project analysis

• Lab 8 – Time series analysis and final projects

• Lab 9 – Final project formatting and analysis (html) (qmd)

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Mason Stahl (2026)
Union College

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