In terms of urban area management, keeping urban area in modest scale is one of the most important issues. We focused on urban commerce area and make analysis based on various data source. Our analysis was carried as below. First, for the sake of preparing the base dataset, we integrate NTT data (Japanese internet yellow page, including commercial shops and firms data) and Zenrin map (a popular urban map) into one map data on GIS, through address matching and natural language processing. Secondly, we focused on the distribution of shops/firms in commercial area, and plotted them on the GIS map data, which covers the area around Tokyo. Then we make clusters about every shops based on minimal distance among plotted data, with Nearest Neighbor. Method. Through this clustering procedure, we generated a monitoring map for commerce area, with which we can monitor the rate of change of every shop/firm at individual building level, and the degree of concentration among them. Then we calculate the modest scale of each commercial area with this monitoring method. In this study, we could examine monitoring method about urban commerce area. And our future prospect is dealing with more diversified aspects of urban area with this method, because it is necessary more indices to calculate the modest scale of urban area. Calculating those scales is also important issue in urban management, as typified by Compact City Theory. And our monitoring method should be the support of validating such theories.