An Object-oriented Model for Representation Lifespan over Scale Space

نویسندگان

  • Tinghua Ai
  • Jingzhong Li
چکیده

Multiple representation of spatial data, which means obtaining different detailed representation of geographic phenomena based on the same spatial database or different data versions, is one of the key technologies for digital earth. It plays an important role in such applications as seamless data navigation, progressive web transfer and self-adaptable visualization. Multiple representation technology meets the contradiction between data volume and high granularity representation. This paper aims at the objective by small size of data volume to realize high granularity representation, presenting a concept, namely representation lifespan over scale space to describe that the spatial data has different representation scene in scale space. The scale transformation is represented as tij: < fi, [si1, si2],{gij} >, where fi is the transformation function, [si1, si2] the scale range controlled by two key scale points si1 and si2 and {gij} the base representation status associated with the key scale point of si1 or si2. The study summaries that there are four transformations, namely generalization, LOD accumulation, morphing and extraction.

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تاریخ انتشار 2008