| Popis: |
Regionalization refers to the design of areal zones by spatially aggregating smaller units into larger clusters. Algorithms to conduct regionalization typically require the desired number of clusters to be specified a priori, though a reasonable number is not always clear. Therefore, a heuristic is proposed to endogenously determine the number of clusters in a supervised setting (i.e., model-driven) by balancing the fit of a spatial model and the average area of clusters used as input. The heuristic is applied in a spatial interaction modeling context and a workflow is presented for integrating regionalization algorithms into larger spatial analysis frameworks. |
