A data model for adaptive multi-resolution scientific data

نویسندگان

  • Philip J. Rhodes
  • R. Daniel Bergeron
  • Ted M. Sparr
چکیده

Representing data using multiresolution is a valuable tool for the interactive exploration of very large datasets. Current multiresolution tools are written specifically for a single kind of multiresolution data. As a step toward developing general purpose multiresolution tools, we present here a model that represents a wide range of multiresolution data within a single paradigm. In addition, our model provides support for working with multiresolution data in a distributed environment.

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تاریخ انتشار 2003