Geographically Weighted Regression (Part I): COVID 19 Incidence

Author(s): Naomi W. Lazarus, PhD

This notebook provides the code for running a Geographically Weighted Regression (GWR) using COVID-19 incidence rates as the dependent variable and independent variables representing age and underlying conditions. It is an exploratory analysis of spatial relationships between COVID-19, age demographics, and comorbidities. It is not recommended for predictive purposes.

Keywords: geographically weighted regression, incidence rate, COVID-19

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Naomi Lazarus

California State University Chico

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