Developing a time-series visualization technique using a temporal gis database for urban growth simulation

This study aims to design and develop an urban growth simulation using a temporal GIS database consisting of different forms of spatial data for analyzing urban sprawl phenomena in Seoul Metropolitan Area and Gyeonggi Province. We analyzed the characteristics of spatial data and selected appropriate scales and transformation methods to establish consistent database contents. For this, we first developed and constructed time-series visualization techniques with a temporal GIS database and satellite images and topographic maps of the last 80 years to analyze variables which affect urban growth. The variables are roads, transportation systems, land use, population, and urbanization etc. Then, we implemented the visualization methods for various socio-economic and physical variables using the constructed temporal GIS database. We expect that the proposed technique shall be used in many different purposes such as urban sprawl monitoring, river basin analyses, environmental impact analyses, and hydrological modeling. In addition, while being the basic information for sustainable urban growth and urban land use planning, the developed temporal GIS database can be used in calibrating the current urban model and developing future urban growth models as well.