I have worked with undergraduate and graduate students on digitizing previously surveyed legacy maps of ancient Maya cities in GIS so we can conduct spatial analyses and measure inequality at multiple spatial scales.  These cities are from across the Maya region in Belize, Guatemala, Mexico, Honduras, and El Salvador. Students research has also focused on digitizing newly collected pedestrian survey data using cutting-edge lidar-derived visualization models as well as digitizing modern Maya community using high-resolution satellite imagery. These analyses allow us to study variations in social organization, urban layouts and design, model neighborhoods and districts, and evaluate inequality in ancient and modern contexts. I guide students in learning how to use legacy data with geospatial tools to address new research questions and better grasp digital data management and spatial analysis, ultimately learning skills they can apply to their future careers.