I am a trans-disciplinary researcher focused at the intersection of applied spatial data science, machine learning, and urban informatics. Very broadly, I am interested in applying my technical experience in data science, machine learning, and software engineering to build local models and work with novel big datasets with the overarching goal of ...see more
I am currently developing a Locally Weighted Correlation Coefficient (LWCC) algorithm and evaluating its equivalence to the coefficients of the Geographically Weighted Regression (GWR) model. Ideally, for a single variable OLS regression, when you center-scale the X and y variables in the dataset (i.e making it have a mean of 0 and a standard dev of 1), and regress y on X, the intercept becomes 0 or statistically equivalent to 0, and the coefficient/slope of the independent variable (X) becomes equal to the pearson’s r (correlation coefficient) ...See more