Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.

• Kwon, Byung-Doo(Department of Earth Science Education, Seoul National University)
• Chi, Kwang-Hoon(Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources) | Chi, Kwang-Hoon
• Lee, Ki-Won(Department of Software Systems, Information Engineering Division, Hansung University) | Lee, Ki-Won
• Park, No-Wook(Geoscience Information) | Park, No-Wook