论文

多源空间数据无缝集成研究

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  • 1. 中国科学院遥感应用研究所,北京100101;
    2. 中国科学院地理研究所,北京100101
宋关福(1969-),男,博士后,1998年于中国科学院地理研究所获理学博士学位,现于中国科学院遥感应用研究所博士后流动站工作。主要从事GIS软件平台研究与开发,GIS、遥 感与GPS一体化集成应用研究等。

收稿日期: 2000-05-01

  修回日期: 2000-05-01

  网络出版日期: 2000-04-24

基金资助

中国科学院创新工程重大项目支持(KZCX1-Y-02)

A Study on Seamless Integration of Multi-sources Spatial-data (SIMS)

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  • 1. Institute of Remote Sensing Application, CAS, Beijing 100101;
    2. Institute of Geography, CAS, Beijing 100101

Received date: 2000-05-01

  Revised date: 2000-05-01

  Online published: 2000-04-24

摘要

随着地理信息系统的社会化发展 ,空间数据共享成为一种必然要求 ,然而要真正实现空间数据共享 ,多格式空间数据集成是一个亟待解决的问题。多源空间数据无缝集成( SIMS)技术实现了一种特殊的数据访问机制 ,不仅提供了直接存取多种数据格式的能力 ,而且使 GIS软件具有跨数据源复合分析功能 ,是实现空间数据共享的有效的技术基础。本文阐述了 SIMS技术体系结构 ,并探讨了 SIMS技术在 GIS软件开发中的应用。

本文引用格式

宋关福, 钟耳顺, 刘纪远, 肖乐斌 . 多源空间数据无缝集成研究[J]. 地理科学进展, 2000 , 19(2) : 110 -115 . DOI: 10.11820/dlkxjz.2000.02.003

Abstract

Spatial data sharing is necessary for socialized Geographical Information Systems. It requires integrating spatial data in different formats. Data exchange through interchange file formats is a popular way to share data between different GIS or cartography software. Data exchange is a time and labor concerning way. We have to run one software package to export data to a specified interchange file, such as DXF, then, run another software tool to import it. The process is too complicated, and it will take us a lot of time when we need to frequently exchange mass data. Spatial Data Interoperation is an ideal way provided by Open GIS Consortium (OGC) to share spatial data among software packages. In this way, GIS software data accessing interfaces should comply with the standards formulated by OGC. We can then share spatial data among different software without exporting or importing. It requires each software package has OGC’s standard data accessing interfaces. Now, this is still not a practical way for spatial data sharing. The Seamless Integration of Multi source Spatial data (SIMS) technology is a spatial data accessing architecture. SIMS consists of three tiers, including data providers, data agent and data consumers. In this model, data consumers, such as analysis components, access data through data agent instead of directly accessing data providers. It has one data agent but can have more than one data provider. Each data provider is implemented for a specified software file format. SIMS not only provide capabilities to access (read and write) spatial data in different formats, but also gives user abilities to perform analyses among several kinds of spatial data formats. In this paper, the authors describe the SIMS technologic architecture, and discuss its development and application.
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