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地球空间数据集成多尺度问题基础研究
引用本文:李军,周成虎.地球空间数据集成多尺度问题基础研究[J].地球科学进展,2000,15(1):48-52.
作者姓名:李军  周成虎
作者单位: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
摘    要: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
收稿时间:1998-11-02
修稿时间:1999-06-04

STUDIES ON MULTI-SCALE GEO-SPATIAL DATA INTEGRATION
LI Jun,ZHOU Chenghu.STUDIES ON MULTI-SCALE GEO-SPATIAL DATA INTEGRATION[J].Advance in Earth Sciences,2000,15(1):48-52.
Authors:LI Jun  ZHOU Chenghu
Institution:State Key Laboratory of Resources and Environment Information System,Institute of Geography,CAS,Beijing 100101,China
Abstract: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.
Keywords:Geo  spatial data integration  Multi  scale  Spatial multi  scale  Temporal multi  scale  
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