Geospatial data is central to understanding and addressing global challenges, from natural disasters to the spread of disease, and to changes in global commerce and distribution of resources. Fluency in time-based geospatial analysis is increasingly essential in science, technology, mathematics, and engineering professions. Yet this analysis is highly complex, and high school students often lack accessible tools and support to engage with such data to develop fluency in analysis. This project team is composed of learning scientists, educational technology developers, cognitive scientists, geospatial educators, and high school teachers experienced in geospatial analysis instruction. Leveraging emerging research in interfaces and analysis techniques for visualizing and analyzing time-based geospatial datasets, the project will design, develop, and test technologies that make time-based geospatial data approachable by high school learners, and will equip students with critical data literacy skills needed for future academic and career success. This project will adopt a design-based research approach to develop the Mapping Time Explorer; a novel visual analytics system aimed at integrating and adapting identified User Interface (UI) approaches and geospatial analysis techniques into a novice-friendly software suite for the exploration of time-based geospatial datasets. The project will conduct early-stage research in technology and learning innovation to explore two sets of te