Studies on multi-scale geo-spatial data integration
Zhou Cheng-hu · 2000
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.