Geographically weighted Poisson–Tweedie model for count data

Key Points

• Count data modeling shows improved accuracy with the geographically weighted Poisson–Tweedie model.
• The model utilizes unique geographic indicators to better handle spatial variation in data.
• Assessment involves considering variations in counts across different geographical locations.
• Highlights the need for further exploration of spatial data methods and their applications.