GES668: Building Spatial Datasets

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.

Readings and practical exercise prepare students to build and maintain data sets about local places and navigate critical issues including data ownership, accuracy, and privacy considerations.

A series of six, generic data visualizations: a scatterplot, a density plot, a contour plot, a line plot, a box plot, and another scatterplot.