地理研究 ›› 2001, Vol. 20 ›› Issue (3): 364-371.doi: 10.11821/yj2001030014

• 论文 • 上一篇    下一篇

综合省情地理信息系统地理数据库的数据组织

马荣华, 黄杏元, 赵振斌   

  1. 南京大学城市与资源学系, 南京 210093
  • 收稿日期:2000-12-15 修回日期:2001-04-08 出版日期:2001-06-15 发布日期:2001-06-15
  • 作者简介:马荣华(1972-),男,山东临沂人,博士生,主要从事地理信息系统设计与开发研究。

Data organization of geographical database in general provincial situation GIS

MA Rong hua, HUANG Xing yuan, ZHAO Zhen bin   

  1. Dept. of Urban &|Resources Science, Nanjing University, Nanjing 210093, China
  • Received:2000-12-15 Revised:2001-04-08 Online:2001-06-15 Published:2001-06-15

摘要:

地理信息系统在政府机关的应用形成了GIS的专门研究领域,综合省情地理信息系统是其研究的重要内容之一,海量数据的组织与管理是这一领域走向成熟与应用的关键。文中采用的数据组织方法打破了图幅的界限,把数据按行政单元进行存储管理,对时态数据采用了一种改进的快照模型,对多比例尺采用分别建库的方法,对影像数据和DEM数据分别按块存储。这样对数据的查询检索可以按行政单元、比例尺、时间(时相)、地物类别以及按块进行,大大提高了查询检索的速度,满足为政府领导机关服务的目的

关键词: GIS, 数据库, 数据组织, 查询检索

Abstract:

GIS application in government agencies opens up a specialized research field and the General Provincial Situation GIS is one of the important research contents. Organization and management of billions of data with multi-scaled and multi-temporal characteristics, composed of vector data, image data and DEM data, is the key issue in giving the field a push to develop rapidly and be applied practically. And the system must make the strict demand on security of data. In order to provide consultation service for leaders to immediately make a strategic decision, the data organization in this paper breaks away from the constraint of the traditional map management, which has some evidently shortcomings that are unfavorable for querying and indexing information of some administrative units. As a result, the seamless spatial data organization scheme based on administrative units is put forward to organize the vector data and the snapshot model is used to process the temporal data. So all data are stored according to administrative units. And data of different scales are stored in different databases and the image data and DEM data are stored separately in line with blocks. Consequently, querying and indexing to all data can be done according to different administrative units, different scales, time (temporal resolution), different object classifications,image or DEM blocks,etc. and the speed to query and index is improved distinctly.

Key words: GIS, database, data organization, querying and indexing

PACS: 

  • P208