Development of three dimensional monitoring dataset for tenants variations in broad urban area by spatio-temporal integrating digital house maps and yellow page data

We have developed the detailed spatio-temporal urban dataset in broad urban area. This dataset have been developed to integrate multi-year digital house maps and yellow page data using GIS system and developed programs in this research. The developed dataset can cover South Kanto region for the period from 1995 to 2005 every five years. South Kanto region is the geopolitically important area of Japan including Tokyo metropolitan area. Using this dataset, not only tenant name, business category, and detailed location including three-dimensional information but also time-series variation of almost all shops and offices can be monitored. Time-series variation means continuation, change, emergence and demise of tenants between two years.