Some Ideas for Integrating Multidisciplinary Spatial Data

نویسنده

  • W. Shi
چکیده

Unlike the integration of geospatial data that deals with different geometric expressions, resolutions and actualities etc., integrating different domain datasets associated with the same geo-reference must consider additionally the specific domain knowledge and models. A number of spatial reference datasets and multidisciplinary datasets are selected as test examples. An analysis of data quality is conducted with regard to the resolution, acquisition method, format and reliability etc. On the basis of data matching, gridding, mathematic morphology and physical modelling, the authors introduce different concepts of data integration with the purpose to map non-geometric semantic attributes onto a uniform geo-space. Such kind of complicated integration is a necessary preparation for meaningful knowledge discovery and data mining. * Corresponding author. 1. INTRODUTION

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تاریخ انتشار 2010