| Week | Date | Topic | Slides | Exercise |
|---|---|---|---|---|
| 1 | Tue, Jan 28 | ❄️ Campus Closed ❄️ | — | — |
| 2 | Tue, Feb 4 | Welcome to GES668 / Get started with spatial data in R | 📖 | 📝 |
| 3 | Tue, Feb 11 | Visualizing data and making maps with `{ggplot2}` | 📖 | 📝 |
| 4 | Wed, Feb 18 | Transforming data with `{dplyr}` | 📖 | 📝 |
| 5 | Wed, Feb 25 | Transforming spatial data attributes | 📖 | 📝 |
| 6 | Wed, Mar 4 | Tidying and joining spatial data | 📖 | 📝 |
| 7 | Wed, Mar 11 | Applying spatial transformations and geometric operations using `{sf}` | 📖 | — |
| 8 | Wed, Mar 18 | 🏝️ Spring Break 🏝️ | — | — |
| 9 | Wed, Mar 25 | Developing an exploratory data analysis with `{sf}` and the `{tidyverse}` | 📖 | — |
| 10 | Wed, Apr 1 | Editing OpenStreetMap and exploring OpenStreetMap data with `{osmdata}` | 📖 | — |
| 11 | Wed, Apr 8 | Exploring American Community Survey data with `{tidycensus}` | — | — |
| 12 | Wed, Apr 15 | Reading and writing spatial data files and services | 📖 | — |
| 13 | Wed, Apr 22 | Creating and managing spatial metadata | 📖 | — |
| 14 | Wed, Apr 29 | Final Project Work Session | — | — |
| 15 | Wed, May 6 | Final Project Presentations | — | — |
GES 668: Building Spatial Datasets Spring 2026
In this course, students learn how to look critically at spatial data and use the R programming language to transform, visualize, and create spatial datasets. Working with open-source tools, reproducible methods, and real world data, students develop skills in the fundamentals of reading and wrangling spatial data with the sf and tidyverse family of R packages.