Geologic Map Data Model

지질도 데이터 모델

  • Yeon, Young-Kwang (Geoscience Information Department Korea Institute of Geoscience and Mineral Resources) ;
  • Han, Jong-Gyu (Geoscience Information Department Korea Institute of Geoscience and Mineral Resources) ;
  • Lee, Hong-Jin (Geoscience Information Department Korea Institute of Geoscience and Mineral Resources) ;
  • Chi, Kwang-Hoon (Geoscience Information Department Korea Institute of Geoscience and Mineral Resources) ;
  • Ryu, Kun-Ho (Department of Electrical Engineering and Computer Science, Chungbuk National University)
  • 연영광 (한국지질자원연구원 지질정보연구실) ;
  • 한종규 (한국지질자원연구원 지질정보연구실) ;
  • 이홍진 (한국지질자원연구원 지질정보연구실) ;
  • 지광훈 (한국지질자원연구원 지질정보연구실) ;
  • 류근호 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2009.06.28

Abstract

To render more valuable information, a spatial database is being constructed from digitalized maps in the geographic areas. Transferring file-based maps into a spatial database, facilitates the integration of larger databases and information retrieval using database functions. Geological mapping is the graphical interpretation results of the geological phenomenon by geological surveyors, which is different from other thematic maps produced quantitatively. These features make it difficult to construct geologic databases needing geologic interpretation about various meanings. For those reasons, several organizations in the USA and Australia are suggesting the data model for the database construction. But, it is hard to adapt to a domestic environment because of the representation differences of geological phenomenon. This paper suggests the data model adaptive in domestic environment analyzing 1:50,000 scales of geologic maps and more detailed mine geologic maps. The suggested model is a logical data model for the ArcGIS GeoDatabase. Using the model it can be efficiently applicable in the 1:50,000 scales of geological maps. It is expected that the geologic data model suggested in this paper can be used for integrated use and efficient management of geologic maps.

Keywords

Data Model;Geologic Map Database;UML;ArcGIS Geodatabase

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