The assessment and demarcation of land value sections is a crucial aspect of current land appraisal operations; however, these tasks often rely on human experience and can leave the quality of the results uncertain to the public. This study aims to design and implement a heuristic procedure to deal with a large number of land parcels and to demarcate land value sections. The study achieved this goal by using the divide-and-conquer paradigm to filter current sections using a threshold of coefficient of variations (cv), solving the land demarcation as a p-regions problem using various regionalization methods, and comparing the results based on both spatial and non-spatial evaluation criteria. The results showed that the proposed strategy can improve the within-section homogeneity and inter-section heterogeneity, while considering spatial integrity as well. Among the five algorithms used, regional-k-means was found to have the best balance of performance in terms of computing time and regionalization results. Additionally, the boundary silhouette was found to be a more stable index for evaluating the quality of regionalization when compared to other non-spatial criteria used in the study.
