Geospatial Analysis with R

Class Overview

• By the end of this class, you should:
  • Be comfortable in working with R, including most common geospatial functions
  • Have a good sense of where R is headed as a language (and how that is changing with AI)
  • Know how to get help, and how to do it in a way that helps you learn
  • Be using R as part of a reproducible workflow
• Course approach
  • (Largely) flipped model and emphasis on problem solving
    • Programming should be fun! (or at least intriguing)
  • Lab and office hours as help sessions

Reproducibility 1

Reproducibility 2

Course Requirements

• Let’s have a look at the Syllabus
• Basic policies
  • Attendance and communication
  • Attention to detail
  • You are responsible for learning the material

Learning and AI

From the Economist

Projects

• Projects page

Getting Set Up/Homework

• README
• Get yourself a GitHub account, if you haven’t
• Send us your GitHub name (!!)
• Install all necessary software on your local computer(s).
• Set up your personal access token
• Read Unit1-Module 1 before section 3.2.1, section 1.7 Style in Syllabus, and cheatsheet of RStudio and R markdown.