A data model for adaptive multi-resolution scientific data

Abstract 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.

• Type: Conference
• Year: 2003
• Where: DAGSTUHL
• Authors: Philip J. Rhodes, R. Daniel Bergeron, Ted M. Sparr
• Keywords: Current Multiresolution Tools, DAGSTUHL 2003, DAGSTUHL 2007, Multiresolution Data, Multiresolution Tools