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This project enhances the geosnap software package to assist research on the relationship between neighborhoods and educational outcomes. Its goal is to improve the analytical capacity of educational researchers supporting Black, Latino, and low-income students by making advanced spatial methods easier to adopt.

In this paper we move away from a static view of neighbourhood inequality and investigate the dynamics of neighbourhood economic …

Comparative segregation analysis holds the potential to provide rich insights into urban socio-spatial dynamics. However, comparisons …

PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel …

This project develops a new body of spatial analytic methods for data intensive research in the social and behavioral sciences. Through …

This research project will comparatively analyze the dynamics of regional inequality in the United States and China using recent …