地球空间数据集成多尺度问题基础研究

doi:10.11867/j.issn.1001-8166.2000.01.0048

地球科学进展 ›› 2000, Vol. 15 ›› Issue (1): 48 -52. doi: 10.11867/j.issn.1001-8166.2000.01.0048

地球空间数据集成多尺度问题基础研究

李军,周成虎

中国科学院地理研究所资源与环境信息系统国家重点实验室,北京 100101

收稿日期:1998-11-02 修回日期:1999-06-04 出版日期:2000-02-01
通讯作者: 李军,男,1968年5月出生于河北省大名,博士后,主要从事空间数据集成研究。

STUDIES ON MULTI-SCALE GEO-SPATIAL DATA INTEGRATION

LI Jun,ZHOU Chenghu

State Key Laboratory of Resources and Environment Information System,Institute of Geography,CAS,Beijing 100101,China

Received:1998-11-02 Revised:1999-06-04 Online:2000-02-01 Published:2000-02-01

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多尺度数据集成是地球空间数据集成中最难处理的问题。将多尺度数据的集成分解为空间和时间多尺度数据集成,在分析应用项目对数据尺度需求的基础上,就两种多尺度数据集成的传统和数据意义上的集成方法进行了详细的探讨。

关键词: 数据集成, 空间多尺度, 时间多尺度, 数据综合

Multi-scale geo-spatial data integration, which is one key issue of geo-spatial data integration, is the combining, integrating and decomposing processes in which boundary of spatial feature are processed. The authors divide geo-spatial data integration into spatial multi-scale data integration and temporal multi-scale data integration, and analyse the scientific foundation and popular methods of the two kinds of geo-spatial data integration.
Multi-scale geo-spatial data integration is necessary because the same spatial entity and geo-processes have different property in multi-scale geo-spaces, and geo-spatial data based applications always deal with spatial scale change. The authors analyze several multi-scale geo-spatial data integration types such as data
generalization, data detailing, data extracting, data updating and explain geo-spatial data integration methods in each type in detail.
The temporal scale indicates the period of geo-processes existing,the same entities or geo-processes have different characteristics in variation temporal scale, for some time sensitive geo-spatial data based applications, temporal multi-scale geo-spatial data integration can not be avoided. Based on the time characteristic analysis on geo-spatial data, the authors describe some temporal multi-scale geo-spatial data integration methods, such as weight analysis, time serial analysis method, data combining method, indirect correlation method.

Key words: Geo-spatial data integration, Multi-scale, Spatial multi-scale, Temporal multi-scale.

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