Advances in Earth Science ›› 2000, Vol. 15 ›› Issue (1): 48-52. doi: 10.11867/j.issn.1001-8166.2000.01.0048

• Articles • Previous Articles     Next Articles


LI Jun,ZHOU Chenghu   

  1. 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

LI Jun,ZHOU Chenghu. STUDIES ON MULTI-SCALE GEO-SPATIAL DATA INTEGRATION[J]. Advances in Earth Science, 2000, 15(1): 48-52.

 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.

No related articles found!
Full text