Development and application of new areal interpolation methods considering spatial dependence

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Most socio-economic data are provided as spatially aggregated data, and areal interpolation, which is a process of transferring data from one zonal system to another, is often required in socio-economic analysis. This study develops areal interpolation methods incorporating spatial phenomena, such as spatial dependence and spatial heterogeneity, by extending spatial statistics and spatial econometrics. We also discuss the modifiable areal unit problem (MAUP), which is deeply related to the areal interpolation problem. Our developed methods are applied to estimations of spatially detailed datasets.