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 techniques to identify spatial relationships within and between spatial datasets. You will learn to identify the arguments that mapmakers make through their maps and to use spatial data visualization to make your own arguments. Student in this course are expected to have completed the preterm workshop for MUP students and software tutorials on ArcGIS, R, and RStudio.