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Extension of hyperspatial helical codes for visualization and correlative analysis of attribute-referenced multi-dimensional data

Zaremba M. B., Varma H., St-Laurent L.

Machine Graphics and Vision

2000

Vol. 9, No. 1/2

331-340

In order to address the growing data management and analysis needs of spatial applications, more research is required in the field of spatial data indexing to support efficient data access and visualization, as well as in the field of new processing strategies that will include topological relationships between the data. This paper introduces hyperspetial helical codes (HHCode), presents the visualization capabilities offered by the codes, and describes the software that has been developed to support viewing, editing and updating of spatial data sets in 3D. Integration of the HHCode with a pre-processing scheme is then proposed, based on self-organizing maps. This enhancement allows the user to discover and visualize topological relationship hidden in the data, and provides a tool for indexing generic multidimensional attribute-referenced data.