Some common spatial analysis techniques used in epidemiology include:
Spatial clustering: Identifying clusters or hotspots of disease cases to understand spatial patterns. Kernel density estimation: Creating a smoothed surface to visualize the concentration of disease cases over an area. Spatial autocorrelation: Measuring the degree to which disease occurrences are correlated with each other in space. Geographically Weighted Regression (GWR): Analyzing spatially varying relationships between variables. Spatial interpolation: Estimating disease rates or environmental exposures at unsampled locations.
