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.


Open with CyberGISX



(for viewing purpose only)


Open with CyberGISX

LEAVE A COMMENT

Name and email are required. Your email will not be published.

Please provide a username.
Please provide a valid email
Please input your message.

?>