Uncovering hidden spatial patterns in social sciences with spatial econometrics.
Spatial econometrics helps social scientists analyze data that is connected in space. By using special models, researchers can understand how spatial relationships affect their results. These models, like spatial lag and spatial error, show how data points influence each other. A study on London house prices showed that spatial econometrics can reveal hidden patterns and provide accurate estimates even when data points are related in space.