Project implementing distance matrix anonymization into regression methods, specifically answering the question: "Is geographically weighted regression (GWR) robust to using the Lipschitz embedded distance matrix?"
The code is available in the analysis supplement, DSI_Supp.html
, with the final report available as a PDF in FinalReport.pdf
and poster presentation available in the GWR_Lipschitz_Poster_CRH.pdf
. Presented at the Vanderbilt Data Science Institute Symposium, April 2019.