Description: Zonal regression is a statistical technique that models the relationship between variables within defined zones, allowing for the analysis of how these relationships may vary in different geographic or categorical contexts. This methodology is used to segment data into specific areas, facilitating the identification of patterns and trends that may not be evident in a global analysis. Through zonal regression, models can be established that reflect the heterogeneity of the data, which is crucial in fields such as ecology, economics, and urban planning. The main characteristics of this technique include the ability to handle spatial data, flexibility in variable selection, and the possibility of incorporating random effects to capture unobserved variations. Its relevance lies in its application in informed decision-making, as it allows researchers and professionals to better understand local dynamics and adapt their strategies accordingly.
