Dr. Kyle Redican

Assistant Instructional Professor

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Curriculum Vitae

Focus Areas

Research Statement

I am an applied GIScientist whose research spans three connected domains. The first examines uncertainty in open and publicly accessible data, drawing on sources such as the U.S. Census Bureau and OpenStreetMap to map, assess, and mitigate the uncertainty that propagates through spatial models. The second is community-engaged scholarship, working with (not on) communities to bring geospatial tools and techniques to the needs and priorities those communities define for themselves. The third explores generative AI and artificial intelligence in geography education, adapting the classroom to a rapidly shifting technological landscape and preparing students to lead in it. Across all three, the throughline is making spatial data and methods more accurate, more equitable, and more useful.

Recent Courses

  • GIS 3034: Foundations of Geographic Information Systems
  • GIS 4102C: GIS Programming
  • GIS 5107C: Geographic Information Systems in Research

Recent Funded Projects

  • Finley-Brook, M., Zizzamia, B., Redican, K., Salters, M. "Teachers' Energy Academy - ‘Data Centers, STEM, Arts and Geography’," Sponsored by Virginia Geographic Alliance, $12,500 (January 2024 – August 2024).
  • Redican, K., Cassady, S., Delroba, E., Quach, M. "Transcribing and Mapping Historic Census Data," Sponsored by City of Richmond Planning Department- Office of Equitable Development, Local, $20,000 (May 8, 2023 - July 14, 2023).

Recent Publications

  • Day, T., Gonzalez, M., Kim, J., McDaniel, P. N., Redican, K., & Zhu, T. (2025). Generative AI in Undergraduate Education: An Early View of Developments, Prospects, and Challenges of the AI Revolution. The Professional Geographer, 1–18.
  • Redican, K., Gonzalez, M., & Zizzamia, B. (2025). Assessing ChatGPT for GIS education and assignment creation. Journal of Geography in Higher Education, 49(1), 113–129.
  • Wen, S., Redican, K., & Hurtado, C. (2024). A New Urban Center/Subcenters Identification Approach Based on Open Street Map in Polycentric Urban Landscapes in the US. Transactions in GIS, 28(8), 2586–2603.

Educational Background

  • Ph.D. in Geography, Environment, and Spatial Sciences, Michigan State University, 2022
  • M.S. in Urban and Regional Planning, Virginia Tech, 2016
  • B.A. in Political Science, Christopher Newport University, 2012