Research Interests and Project Expertise
Harmonization of Geographic Data, Census Data Visualization; U.S. Population Distribution & Change; Demographic Data Infrastructure
I began working on the NHGIS project as a graduate assistant in 2001 and joined the full-time research staff in 2009. My primary role is to direct NHGIS's metadata harmonization, time series production, and data documentation, and I also contribute to IPUMS-USA, leading the development of integrated geographic microdata variables.
The primary aim of my research has been to develop and apply methods of spatio-temporal analysis and visualization of census data. One focus has been on areal interpolation models to produce geographically standardized time series where the boundaries of census reporting units have changed. For my doctoral research, I illustrated patterns in long-term population trends throughout major U.S. cities by applying a novel multivariate mapping technique to time series of census tract data. I continue seeking out new ways to model and illustrate population distributions and trends effectively.
Schroeder, J. P. (2017). Hybrid areal interpolation of census counts from 2000 blocks to 2010 geographies. Computers, Environment and Urban Systems, 62, 53-63.
Schroeder, J. P., & Van Riper, D. C. (2013). Because Muncie's densities are not Manhattan's: Using geographical weighting in the expectation–maximization algorithm for areal interpolation. Geographical Analysis, 45(3), 216-237.
Noble, P., Van Riper, D., Ruggles, S., Schroeder, J., & Hindman, M. (2011). Harmonizing disparate data across time and place: The Integrated Spatio-Temporal Aggregate Data Series. Historical Methods, 44(2), 79-85.