The increasing spatial data provide abundant material for data fusion, and the purpose of the paper is to apply data fusion into the production and updating of spatial data. After outlining the general framework and workflow, the processing contents and methods are specified in sequence. Facing various spatial data from different sources, how to design proper data fusion scheme is the toppriority problem. The method of analyzing and assessing various spatial data is introduced referring to

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... s, which is shown by concrete examples. Then the technical workflow of multi-source data integration is present to eliminate differences and relevant contents are also specified. After building the relationships of homologous entities through spatial data matching, the data fusion which is similar to cartographic generalization in essence can be implemented. Different ways of updating spatial data is introduced to keep the currency of existing data. At last, the spatial data with good quality can be obtained. The efficient and reliability of the methodology in this paper has been proved through practical production. * Huanxin Chen, Ph.D candidate, majors in digital mapping and spatial data fusion.