Spatial unit convergence, called areal interpolation, is often applied to address this problem. Of the many areal interpolation methods that have been proposed, a few consider spatial autocorrelation which is the general property of spatial data. Here, a new areal interpolation method that considers spatial autocorrelation is constructed by combining linear regression based areal interpolation method and kriging: a spatial statistical method. The proposed method, whose implementation and extension is easy, is practical among spatial statistics based areal interpolation methods. Then, a case study showed that the suggested method succeeds in improving the predictive accuracy and indicated that considering spatial autocorrelation is important for accurate areal interpolation.
