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A new ordering strategy applied to spatial data processing
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DOI：10.1080/136588198241987.png)
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Abstract
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Ordering a set of multi-dimensional data is an essential task in modern spatial data processing systems such as raster geographical information systems. This can effectively be carried out by a transformation called spatial ordering. It has been reported that the Hilbert ol del exhibits desirable performance. However, its encoding or decoding process in the n-dimensional space (n greater than or equal to 3)is complicated and would place a considerable computational burden on the application problems. In this paper, we propose a new spatial order with efficient algorithms. The performance evaluation suggests that this new order is competitive with the Hilbert order.
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QUADTREES
SPACE
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