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Spatial Analyst
University of Bristol

United Kingdom

I am an American expat currently working as a Senior Lecturer/Assistant Professor in Quantitative Human Geography at the University of Bristol’s Quantitative Spatial Science Lab, Fellow at the University of Chicago Center for Spatial Data Science, and Fellow at the Alan Turing Institute. I work in spatial data science, building new methods and software to learn new things about social and natural processes.

In the past, I’ve worked on detecting gerrymandering [1,2], neighborhood dynamics, local models, affordable rent, bayesian computation, species distribution modelling… a whole gamut of spatial data science topics. In future, I’m broadly interested in figuring out ways to integrate spatial reasoning into data science techniques. This either looks like traditional spatial data science techniques that use augmented spatial information, or involves the development of entirely new spatial statistical models & data science methods. I am currently accepting PhD students.

I’ve worked at Nextdoor and CARTO (twice). Both were great places to work. I am one of a few core maintainers of geopandas, the main library for representing and working with geographic data in Python. I’m the author of cenpy, a wrapper for the US Census Bureau data API that discovers & updates itself when the API changes. I also am a co-maintainer of the Python Spatial Analysis Library (the main spatial stats library in Python) and contextily (a library to add basemap tiles to your python maps).

I’m writing a book (due out in 2023) with my colleagues Dani Arribas-Bel and Sergio Rey on geographic data science. You can see us write it at I’m also editing a book with Rich Harris and Alison Heppenstall, called a Research Agenda for Spatial Analysis. And, check out my podcast with Rachel Franklin and Daniel Arribas-Bel, the GLaD podcast, your spatial fix for Geography, Life, and Data.

I am available to consult on spatial analysis, modelling, and optimisation problems.