Noronha VT 1988  A survey of hierarchical partitioning strategies for vector images.  Proceedings, Third International Symposium on Spatial Data Handling, Sydney, pp 185-200 

Abstract  Vector image data formats have some unique functional capabilities, but spatial objects are difficult to retrieve on a two-dimensional key.  This article examines a number of strategies for speeding up the object retrieval process by partitioning an image into manageable subsets.  The emphasis is on solutions that can be implemented on microcomputers, for image data bases up to about 10 Mb.

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[This manuscript has been transcribed but essentially unchanged from the 1988 paper.  The methods are more than a decade old, but the principles of data structuring are illuminating and still valid]


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