Spatial regression

Spatial regression is a statistical method used to analyze data that has a geographic component. It helps researchers understand how the location of data points—like crime rates, property values, or disease outbreaks—affects relationships among variables. Standard regression techniques assume data points are independent, but spatial regression accounts for the fact that nearby locations may influence each other. This leads to more accurate predictions and insights by considering the impact of geography on the data, enabling better decision-making in urban planning, public health, and environmental management.