Challenge in Science

Apr 20, 2018 - 10 minutes
I just finished attending the 2018 GIS Research UK conference at Leicester University. I presented twice; once on some new methods in spatial clustering and once for the CDRC brexit data analysis competition. I had a really good time participating in the data analysis competition, and it struck a chord with me reflecting on quite a few conversations I’ve had with my friend & colleague Taylor Oshan and something Morton O’Kelly said at this year’s annual American Association of Geographers meeting. Read more ...

GISRUK I: CDRC Brexit Analysis Competition

Apr 18, 2018 - 2 minutes
My entry in the Consumer Data Research Center’s Brexit Data Competition is called “Tension Points: A Theory & Evidence” (static), which I talked about at the 2018 GISRUK conference There is an abstract describing some of the work that I submitted to get to the final round, but if you’re computationally inclined, you’ll find everything sufficient to replicate my modelling & analysis in this Jupyter Notebook (raw). You’ll need scikit-learn, pystan, statsmodels, and geopandas at minimum to run. Read more ...

GISRUK II: Spatially-Encouraged Spectral Clustering

Apr 4, 2018 - 2 minutes
This paper culminates a bit of work I’ve started on since seeing a talk by Phil Chodrow on a paper that eventually became his quite interesting NAS paper paper on segregation and entropy surfaces. I was intrigued by the prospect of using spectral clustering for constrained clustering problems. Specifically, I’d known that affinity matrix clustering could be adapted to constrained contexts ever since reading about hierarchical ward clustering, but I hadn’t seen a really convincing method that showed me how I could work this out for a general affinity-matrix clustering method. Read more ...