We assess how geographers perceive reproducibility and replicability, and to what extent they implement reproducible research practices and attempt reproduction or replication studies. We attempt to reproduce and replicate geographic studies with important societal impacts and/or intellectual merit contributions to the discipline. We also integrate teaching reproducible research practices and attempting reproduction and replication studies into geography curricula at the undergraduate and graduate levels, developing and testing pedagogy to train the next generation of researchers.

Open Science Infrastructure and Model Research Projects


  1. Kedron, P., Bardin, S., Holler, J., Gilman, J., Grady, B., Seeley, M., Wang, X. and Yang, W. (2023). A Framework for Moving Beyond Computational Reproducibility: Lessons from Three Reproductions of Geographical Analyses of COVID-19. Geographical Analysis. DOI:10.1111/gean.12370
    • Presents the practical framework and associated template for our approach to conducting reproduction and replication studies. Include three example reproductions of spatial analyses of COVID-19, which are linked to completed, open access project repositories.
  2. Kedron, P., Holler, J., & Bardin, S. (2023). Reproducible Research Practices and Barriers to Reproducible Research in Geography: Insights from a Survey. DOI:10.31219/osf.io/nyrq9.
    • A survey of geographic researchers assessing their understanding of reproducible research and reproducible research practices. Key findings include 1) researchers conflate definitions of reproduction and replication, 2) sub-disciplinary variation in the perceived value of reproduction, and that 3) very few attempt and publish reproduction studies.
    • Preprint, Data Visualization, OSF Project, and GitHub Repository
  3. Kedron, P., & Holler, J. (2022). Replication and the search for the laws in the geographic sciences. Annals of GIS, 28(1), 45-56. DOI:10.1080/19475683.2022.2027011.
    • Discussion of the role of replication in geography that situates the practice in the literature of the Hartshorne-Schaefer Debate.
  4. Kedron, Peter, Sarah Bardin, Tyler D. Hoffman, Mehak Sachdeva, Matthew Quick, and Joseph Holler (2022). A Replication of DiMaggio et al. (2020) in Phoenix, AZ. Annals of Epidemiology, 74, 8–14. doi:10.1016/j.annepidem.2022.05.005
    • Replication of Bayesian spatial analysis of COVID-19 in New York City in Phoenix, Arizona.
  5. Kedron, Peter, and Amy E. Frazier. (2022). How to Improve the Reproducibility, Replicability, and Extensibility of Remote Sensing Research. Remote Sensing, 14(21), 5471. doi:10.3390/rs14215471

Conference Papers

  1. Holler, Joseph and Peter Kedron (2022). Mainstreaming metadata into research workflows to advance reproducibility and open geographic information science. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W(August), 201–208. doi:10.5194/isprs-archives-XLVIII-4-W1-2022-201-2022