Earth Science Frontiers ›› 2022, Vol. 29 ›› Issue (2): 343-353.DOI: 10.13745/j.esf.sf.2021.7.12

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Design of spatial database for the geological map of the Moon

JIN Ming1,2(), DING Xiaozhong1,2,*(), HAN Kunying1,2, LIU Jianzhong3, LING Zongcheng4, XU Kejuan1,2, PANG Jianfeng1,2, SHAO Tianrui1,2   

  1. 1. Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China
    2. National Geological Mapping Research Center of China Geological Survey, Beijing 100037, China
    3. Lunar and Planetary Science Research Center, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    4. Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, Weihai 264209, China
  • Received:2021-04-30 Revised:2021-09-18 Online:2022-03-25 Published:2022-03-31
  • Contact: DING Xiaozhong

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Abstract:

China is about to complete the compilation of its 1: 2.5 million digital geological map of the entire lunar surface. In order to facilitate the storage, management, integration and sharing of the geological map data, it is necessary to build a comprehensive and practicable spatial database. In this paper, the geological spatial database feature classes were catalogued and classified comprehensively through mapping exercise. The feature class contains four main categories-material class, structural class, other special symbols class and annotation class, which are subdivided into 13 subcategories and 40 further subcategories. Extensible classification codes were designed based on this classification scheme. Spatial feature classes are organized and managed using layers. The layer name is formed as follows: the first four bits are the map number, the fifth bit is the scale code, and the following is the abbreviation of the English name of the layer. Each layer is associated with an attribute table. The field name, alias, type, empty or not, length, decimal places and units of all fields in the attribute table were defined and standardized. As an example the structure of the attribute table for crater materials, mare basalts, impact fractures and elevation points are described in detail. The primary key of the attribute table is “Feature_ID”, which is used to uniquely identify an element. The “Feature_ID” is composed of four 14-bit codes: map number, scale bar code, classification code and element sequence code. The database is designed following the principle of scalability so it can be referenced by spatial databases for other map areas or scales. Here, the design of a spatial database for the geological map of von Carmen impact crater is presented. Scientific and practicable database design is the premise of database construction, and it will play an important part in storage management and international sharing of the lunar mapping results.

Key words: spatial database, geologic map of the Moon, table structure, encoding rules

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