The gravity model is used in a variety of fields to explain spatial interaction behavior such as transportation, commodity, or migration flows, but the model assumes observed flows to be independent and thus affected by spatial autocorrelation. Recent studies succeeded in modeling...

Differences in spatial units among spatial data often complicate analyses. Spatial unit conversion, called areal interpolation, is often applied to address this problem. Of the many proposed areal interpolation methods, few consider spatial autocorrelation, which is the general property of...

The computable urban economic (CUE) model is a tool for analyzing real urban economies and evaluating urban polices in practice. The CUE model can output a set of variables which describe a real urban economy: a distribution of locators or activities including households and firms, a...

Large-scale transportation projects such as the construction of a commuter railway accessible to metropolises have a significant regional impact. This study attempts to measure this impact using spatial statistical models and land price data. First, dynamic changes in the land price are analysed...

With the collapse of the bubble economy in the early 1990s, economic disparities among both people and regions have arisen in Japan. Although developments in spatial econometrics have provided regional convergence studies with highly effective tools to explicitly consider spatial dependence and...

The recent progress of spatial econometrics has developed a new technique called the “spatial hedonic approach,” which considers the elements of spatial autocorrelation among property values and geographically distributed attributes. The practical difficulties in applying spatial econometric...

Spatial data are often aggregated into spatial units and differences between spatial units can complicate the analysis of the data. One solution to this problem is spatial unit conversion, also called areal interpolation. Of the many areal interpolation methods proposed thus far, few method are...