Spatial Analysis [Module 1]

VIS 2128 Subject & Catalog Number

Description

Planning decisions are often idealized as being “evidence-based” or “data-driven.” Spatial data often comprise the data and evidence that support such these decisions. In this course, you will learn how to create spatial datasets, both by assembling them from existing sources and by collecting data in the field. You will also learn data visualization and analysis techniques to identify spatial relationships within and between spatial datasets, including techniques for incorporating artificial intelligence into your spatial analysis workflows. You will learn to identify the arguments that mapmakers make through their maps and to use spatial data visualization to make your own arguments.

Students in this course are expected to have completed the preterm workshop for MUP students and software tutorials on ArcGIS, R, and RStudio. Students from outside of the MUP program should contact the instructor to determine if they have the appropriate background to succeed in the course.