JAUE2022-008: Accuracy Analysis of SDI-Based Building Spatial Information

Abstract

Spatial data infrastructure (SDI) means the infrastructure, organizational and physical structures necessary to facilitate the efficient use of spatial data and serves as a data sharing platform for spatial data exchange and sharing among stakeholders. In the case of Korea, various types of spatial data produced by multiple national institutions are provided through the Introduction to Spatial Information Portal. In the case of Korea, various types of spatial data produced by multiple national instituy level of the data currently held by public institutions in Korea is very low, and it is difficult to expect active utilization in various fields. Therefore, in this research, the accuracy was analyzed for the positional accuracy and attribute accuracy of the architectural spatial data provided by Korea. As a result of analyzing the degree of lack of attribute data and attribute data, the Spatial Data attribute error of buildings was 35.73% on average. As for positional errors, the total number of overlapping errors is 17,247 due to differences in the locations of buildings as a result of consistency verification. It was analyzed that 11,206 (3.4%) of all buildings overlapped with other building shapes. In this study, we analyzed the accuracy of attribute data and the accuracy of location by simple calculation based on the attribute data. This study utilized data provided by the SDI to construct and utilize the dataset. It is judged that the methodology of this study can be used to confirm data quality in SDIs of various countries.