%0 Journal Article
%T 面向综合测绘的空间数据引擎实现<br>Implementation of Spatial Data Engine for Integrated Surveying and Mapping
%A 刘付海萍
%J Geomatics Science and Technology
%P 6-12
%@ 2329-7239
%D 2023
%I Hans Publishing
%R 10.12677/GST.2023.111002
%X 不同底层的GIS地理信息数据格式对空间写入设置屏障，阻碍了数据的共享和互操作，为解决这个问题对不同数据格式的解析读取将是关键操作。本文通过对空间数据格式ESRI MDB、超图SDB和数维MDB的读取，分析了这三种格式的内部组织结构，提出了存储数据的空间结构。该种存储结构便于对解析大量数据拓扑操作、空间转化和可视化等相关后续处理，同时分析了转储这几种数据格式的一些关键操作。<br />
Different underlying GIS geographic information data formats set barriers to spatial writing, which hinders data sharing and interoperability. To solve this problem, parsing and reading different data formats will be the key operation. This paper analyzes the internal organization structure of the three spatial data formats ESRI MDB, Hypergraph SDB and Digital MDB, and proposes the spatial structure for storing data. This kind of storage structure is convenient for the subsequent pro-cessing related to the topological operation, spatial transformation and visualization of parsing a large amount of data. At the same time, some key operations of dumping these data formats are an-alyzed.
%K SDB，MDB，空间数据引擎，数据结构；SDB
%K MDB
%K Spatial Data Engine
%K Data Structure
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=60453