Introduction
When we put the Earth’s curved surface onto a flat map, distortion is unavoidable. Depending on the map projection, the same real-world location can end up with different X and Y coordinate values (Eastings and Northings). Because of this, it is important to keep projections consistent during analysis. One common way to do that is to reproject data layers so that all layers use the same coordinate system.
Overview
I practiced working with coordinates, on-the-fly projection, and multiple coordinate systems in ArcGIS Pro. I also learned basic cartographic layout skills, such as building a map with a legend, north arrow, scale bar, and an inset/locator map so that the final product is easy to understand.
The main mapping exercise used Minnesota county boundaries to show how different projections affect the same dataset. I created one map using a single statewide projection for clean presentation. Then I built a second layout that compared three projections side by side at the same scale: Albers, UTM Zone 15, and a custom Mercator. Seeing them next to each other made it easy to notice changes in shape and distortion—for example, how counties can look slightly stretched or shifted depending on the projection.
This lab showed that map projections are not just a display choice—they directly affect how distance, shape, and scale appear on a map. By comparing multiple projections side by side and measuring the same locations in different systems, I saw how distortion can change the way geographic information is interpreted. As a result, this lab reinforced that choosing an appropriate coordinate system—and keeping it consistent across layers—is essential for accurate analysis and for creating clear, reliable map products.