Geospatial Analysis with R

Spring 2024

Updated on: 2024-04-08

Resources

• Syllabus
• Assessment Criteria
• Software installation
• Git/GitHub
• Known bugs and fixes

Links

• Helpful functions
• Cheatsheets

Course materials

The class materials were designed by Lyndon Estes and Lei Song.

• Unit 1 - Overview
  • Module 1 - Reproducibility and related R skills
  • Module 2 - R and R fundamentals
  • Module 3 - Data preparation and operation
  • Module 4 - Data manipulation and visualization
• Unit 2 - Overview
  • Module 1 - Vector data
  • Module 2a - Raster data, part 1
  • Module 2b - Raster data, part 2
• Potential Projects

Course content

Week 1 (Jan 17)

• Setup
• Class 1 slides

Week 2 (Jan 22, 24)

• Using git and Github; R packages;
• Class 2 slides
• Class 3 slides

Week 3 (Jan 29, Jan 31)

• Continued setup work, RMarkdown, R ecosystem
• Class 4 slides
• Class 5 slides
• Assignment 1 due (Unit 1 Module 1)

Week 4 (Feb 5, 7)

• R data structures, OOP, Environments, Control flow
• Class 6 slides
• Class 7 slides

Week 5 (Feb 12, 14)

• Class 8 slides
• Class 9 slides
• R data structures, OOP, Environments, Control flow
• Assignment 2 due (Unit 1 Modules 2-3)

Week 6 (Feb 19, 21)

• Class 10 slides
• Class 11 slides
• tidyverse, working with data
• regression, plotting

Week 7 (Feb 26, 28)

• Class 12 slides
• Class 13 slides
• tidyverse, data manipulation
• Assignment 3 due (Unit 1 Module 4)

Week 9 (Mar 11, 13)

• Class 14 slides
• Class 15 slides
• Working with vectors

Week 10 (Mar 18, 20)

• Class 16 slides
• Class 17 slides
• More on vectors
• Assignment 4 due (Unit 2 Module 1)

Week 11 (Mar 25, 27)

• Class 18 slides
• Class 19 slides
• Raster algebra, terrain, modeling

Week 12 (April 1, 3)

• Class 20 slides
• Class 21 slides
• Assignment 5 (Unit 2 Module 2)

Week 13-15 (April 8, 11, 15, 17, 22, 24, 29)

• Class 22 slides

• Project Overview due (end week 13)

• Final Projects due May 6