Spatial Regression Analysis

Spatial regression analysis is a statistical method used to study how the location of data points affects relationships between variables. For example, it helps analyze how housing prices are influenced by nearby schools or parks. Unlike regular regression, which assumes data points are independent, spatial regression considers that nearby locations might be more similar, thus impacting the results. This technique is valuable in fields like urban planning, environmental studies, and economics, as it provides insights into spatial patterns and helps make more informed decisions based on geographic context.