In recent years, a vast amount of data has been accumulated through the observation and recording of various social and economic activities. Much of this data is tagged with time and geographic location, and some even has high spatio-temporal resolution. Analyzing this spatio-temporal data has the potential to provide insights into the actual activities of people within national territories, regions, cities, and even smaller areas, enabling discussions about future visions and the extraction of information to support rational decision-making.

Our laboratory aims to develop spatio-temporal data analysis methods to create an environment where people can discuss the future of their regions based on current analyses utilizing spatio-temporal data, thereby contributing to the creation of better communities.

Our current main research themes are as follows:
- Development of spatial heterogeneity analysis methods
- Spatio-temporal correlation-based real estate price interpolation
- Understanding the impact of disaster risks and mitigation measures on regions