Exploring Environmental Data (ENS-215)

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ENS-215	Homework	Syllabus

Lectures

Week 10

• Mon (7-Mar) – Seasonality indices: Environmental applications (html) (Rmd)

• Wed (9-Mar) – Final project presentations

• Fri (11-Mar) – Final project presentations

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Week 9

• Mon (28-Feb) – Spatial analysis continued: Introduction to rasters (html) (Rmd) (Slides)

• Wed (2-Mar) – Interactive graphics (html) (Rmd)

• Fri (4-Mar) – Writing functions in R (html) (Rmd)

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Week 8

• Mon (21-Feb) – Making maps in R (html) (Rmd)

• Wed (23-Feb) – Making maps in R (continued) (html) (Rmd)

• Fri (25-Feb) – Project help session: Class is remote due to snow. See email for details and link to join.

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Week 7

• Mon (14-Feb) – Bivariate data and time-series analysis (html) (Rmd)

• Wed (16-Feb) – Introduction to data modeling (html) (Rmd)

• Fri (18-Feb) – Finding and accessing environmental data in R (html) (Rmd)

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Week 6

• Mon (7-Feb) – Descriptive statistics and univariate data (html) (Rmd) and Loading data into R (html) (Rmd)

• Wed (9-Feb) – Visualizing and interpreting data distributions (html) (Rmd) and Graphical display of data distributions: Examples (html)

• Fri (11-Feb) – Comparing distributions: Q-Q plots (html) (Rmd)

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Week 5

• Mon (31-Jan) – Presentation quality graphics (html) (Rmd), (Slides), Article by Kelleher and Wagener (2011)

• Wed (2-Feb) – Reshaping, cleaning and tidying data (html) (Rmd)

• Fri (4-Feb) – Combining/joining data (html) (Rmd)

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Week 4

• Mon (24-Jan) – Intro to data visualization (html) (Rmd), Slides

• Wed (26-Jan) – Intro to data viz (continued) (html) (Rmd)

• Fri (28-Jan) – Data visualization (additional topics) (html) (Rmd)

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Week 3

• Mon (17-Jan) – Data wrangling continued (html) (Rmd)

• Wed (19-Jan) – Data wrangling group_by and summarize() (html) (Rmd)

• Fri (21-Jan) – Intro to strings (html) (Rmd)

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Week 2

• Mon (10-Jan) – Relational and logical operators, if/else/else if (html) (Rmd)

• Wed (12-Jan) – Control flow (for and while loops) (html) (Rmd)

• Fri (14-Jan) –Data wrangling intro (html) (Rmd)

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Week 1

• Mon (3-Jan) – Course introduction (html) (Rmd), Slides, In-class examples

• Wed (5-Jan) – Diving into R (html) (Rmd), Slides, Cheatsheets

• Fri (7-Jan) – R Programming and Markdown Basics (html) (Rmd)

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Labs

• Lab 1 – Computer setup and logistics
• Lab 2 – Intro and EPA Fuel Economy Data (html) (Rmd)
  
• Lab 3 – Global Dams and Reservoirs (html)
  
• Lab 4 – Groundwater Arsenic in Bangladesh (html)
  
• Lab 5 – Final project kick-off (html)
  
• Lab 6 – Project proposal feedback and kick-off of analysis (html)
  
• Lab 7 – Project formatting, organization, and additional project work (html)
  
• Lab 8 – Projects
  
• Lab 9 – Projects: final stages (html)

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Mason Stahl (2022)
Union College