There is an increasing awareness that the disclosure of the detailed land price information is significant to establish land markets with a high level of transparency and fairness. However, the public land price datasets, both the officially assessed land price data and the transaction price data, are not providing enough information for all land market participants. Thus, it is necessary to estimate the land prices of any land lots using the spatially and temporally collected land price data. In this study, we focus on spatio-temporal kriging, one of interpolation techniques using spatio-temporal data. We apply the spatio-temporal universal kriging to the officially accessed land price data in Tokyo 23 wards in 33 years, and empirically analyze the applicability of spatio-temporal kriging. Then we visualize the land price distribution in time and space.
