| 集成共享地理空间数据格网化编码研究 |
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| 引用本文： | 刘鹏,王卷乐,陈二洋,卜坤.集成共享地理空间数据格网化编码研究[J].中国信息导报,2014(4):73-78. |
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| 作者姓名： | 刘鹏 王卷乐 陈二洋 卜坤 |
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| 作者单位： | 1．中国矿业大学（北京），地球科学与测绘工程学院，北京 100083；2．中国科学院地理科学与资
源研究所，资源环境信息系统国家重点实验室，北京 100101；3．中国科学院东北地理与农业生态研
究所，吉林长春 130102 |
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| 基金项目： | 科技基础性工作专项项目“格网化资源环境综合科学调查规范”（2011FY110400）；中国科学院信息化专项项目“资源
学科领域基础科学数据整合与集成应用”（XXH12504-1-01）。 |
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| 摘 要： | 针对陆地表层地理空间数据的集成共享问题，提出从数据分类、数据编码到数据格网化编码的解决方案。
从我国国情出发，以中国国家地理格网为基础，分析其空间数据的组织与编码体系，并针对国家科技基础条件平台—
地球系统科学数据共享平台中的陆地表层数据，提出结合数据分类的数据属性编码，进而建立能够与国家地理格网相
衔接的地理空间数据格网化编码应用方案。以地理空间数据的点、面实体数据为例，证实了该编码的应用可行性。预
期该编码方案能够在科学数据资源管理、数据检索访问、数据资源集成、数据资源格网化处理、数据资源空间分析、
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| 关 键 词： | 地理格网 数据编码 地球系统科学 地理空间数据 数据共享 |
Research on Geospatial Data Grid Coding for Data Integration and Sharing |
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| Liu Peng,Wang Juanle,Chen Eryang,Bu Kun.Research on Geospatial Data Grid Coding for Data Integration and Sharing[J].China Information Review,2014(4):73-78. |
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| Authors: | Liu Peng Wang Juanle Chen Eryang Bu Kun |
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| Institution: | 1. China University of Mining & Technology, College of Geoscience and Surveying Engineering, Beijing
100083; 2. Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences,
State Key Laboratory of Resources and Environmental Information System, Beijing 100101; 3. Northeast
Institute of Geography and Agroecology Chinese Academy of Sciences, Changchun 130102 |
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| Abstract: | Grid is not only the special reference base, but also the container of multi sources geospatial data.
This paper discussed the problem of the current geospatial data integration, which pointed out that the
geographic grid was an effective method to solve the problem. According to China national situation, the
national geographic grid organization and coding system was analyzed firstly; land surface data coding schema
was designed based on the data classification system of Earth System Science Data Sharing Platform; then an
integration solution for land surface grid coding is proposed. Actual point and polygon data resources coding
cases in Earth System Science Data Sharing Platform were experimented in the study. Results showed that the
grid coding solution is feasible for geospatial integration and sharing. It can be anticipated that the grid coding
of geospatial data will play important roles on data resources management, access, integration, grid processing,spatial analysis, identification and citation. |
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| Keywords: | geographic grid data coding earth system science geospatial data data sharing |
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