Kevin Credit

Kevin is the Assistant Director for Urban Informatics at the Center for Spatial Data Science at the University of Chicago, as well as an Assistant Instructional Professor for GIScience there. His research covers a variety of topics related to economic development, transportation, spatial data science, and location optimization, including using predictive machine learning algorithms to better understand the economic impact of new transit lines and analyzing the spatial patterns in the recent retail “apocalypse”. Before receiving his PhD in Geography at Michigan State University, Kevin worked as a long-range planner for the City of Manhattan, Kansas, and obtained his Master’s in Regional and Community Planning from Kansas State University.

Courses taught by Kevin Credit

Classical Location Theory

This course traces the key theories and conceptual models that have been developed to explain why economic activities tend to locate where they do.

169 Mins