ABSTRACT
ABSTRACT: China has established a series of National Fundamental Geographical Information System (NFGIS) databases. However, with the progress in national information dissemination, NFGIS has been confronted by many new requirements from GIS users, including requests for its refinement and updating. This paper is mainly concerned with the content refinement for the National Fundamental Geographical Information System (NFGIS) 1:50,000 DLG database using statistical data mining technology. We propose a methodology employing a clustering strategy in database content refinement. This approach is very suitable to explore the survey data and obtain useful information. A user survey was conducted to collect users’ requirements of the NFGIS database, such as data content and attribute information, and the survey results analysed further by clustering analysis. Through this research, we can reach the following conclusions: (1) Clustering analysis is essential for survey results; (2) Spatial analysis is supplementary to clustering analysis; (3) Using different clustering methods ensures the correctness of clustering results.
