Peter Kedron is a human geographer and GIScientist with expertise in economic geography, spatial analysis, and the design and evaluation of research. Dr. Kedron joined UCSB as an Associate Professor and member of the Center for Spatial Data Science after previously holding faculty positions at Arizona State University (2018-2023), Oklahoma State University (2016-2018), and Ryerson University (2012-2016). He earned his Ph.D. in Geography from the State University of New York at Buffalo, an MA in Economics from the University of Michigan, and BAs in Economics and Psychology from the State University of New York at Buffalo. His research develops and uses spatial analytical methods to explain geographic variation in social and ecological processes. Dr. Kedron's recent work focuses on the use of replication as a means of evaluating geographic research, and on developing statistical approaches to improve the accumulation of evidence collected from different locations. To date, he has authored over 55 peer-reviewed articles, given over 100 conference presentations and public talks, and supervised over 20 graduate students and post-doctoral scholars.
My research develops spatial analytical methods to explain explain why social and ecological processes differ between locations. In collaboration with students and colleagues, I also develop research practices and pedagogical models that integrate replication and geographic analysis. Integrating space and spatial thinking into the evaluation and accumulation of evidence is critical given the growing use of spatial data across the sciences and the increasing number of mandates that the evidence we use to inform policy be reproducible and validated by replication. My research has been consistently funded by the National Science Foundation (NSF) and appears in publications in top field journals in Geography, GIScience, and Regional Science.
Kedron, P., Bardin, S., Holler, J., Cliff, S., Fuller, K., Gilman, J., Grady, B., Seely, M., Van Zandergen, A., Yang, W., Yang, X. (Forthcoming) A framework for moving beyond computational reproducibility: Lessons from three reproductions of geographical analysis. Geographical Analysis.
Connor, D., Berg, A., Kemeny, T., Kedron, P. (Forthcoming) Who gets left behind by left behind places? Cambridge Journal of Regions, Economy, and Society.
Kedron, P., Frazier, A.E., Trgovac, A., Nelson, T., Fotheringham, S. (2021) Reproducibility and replicability in geographical analysis. Geographical Analysis 53(1): 135-147
Kedron, P., Li, W., Goodchild, M., Fotheringham, S. (2021). Reproducibility and replicability: opportunities and challenges for geospatial research. International Journal of Geographical Information Science 35(3): 427-445
Sui., D., Kedron, P. (2021) Reproducibility and replicability in the context of the contested identities of geography. Annals of the American Association of Geographers 111(5): 1275-1283
Kedron, P., Frazier, A.E., Ovando-Montejo, G., Wang, J. (2018) Surface metrics for landscape ecology: A comparison of landscape models across ecoregions and scales. Landscape Ecology 33(9): 1489-1504
Frazier, A.E., Kedron, P. (2017) Landscape metrics: Past progress and future directions. Current Landscape Ecology Reports 2(3): 63-72
Rogerson, P., Kedron, P. (2012) Optimal weights for focused tests of clustering using the local Moran statistic. Geographical Analysis 44(2): 121-133
Kedron, P., Bagchi-Sen, S. (2012) Foreign direct investment in Europe by multinational pharmaceutical companies from India. Journal of Economic Geography 12: 809-839
Kedron, P., Bagchi-Sen, S. (2011) A study of the emerging renewable energy sector within Iowa. Annals of the Association of American Geographers 101(4): 882-896