Ordinal hashing of multidimensonal data and geographic coordinates via Morton coding / Z-ordering.
In mathematical analysis and computer science, Z-order, Morton-order, or a Morton-code is a function which maps multidimensional data to one dimension while preserving locality of the data points. It was introduced in 1966 by IBM researcher, G. M. Morton. The z-value of a point in multidimensions is calculated by interleaving the binary representations of its coordinate values. Once the data are sorted into this ordering, any one-dimensional data structure can be used, such as binary search trees, B-trees, skip lists, or hash tables. The resulting ordering can equivalently be described as the order one would achieve from a depth-first traversal of a quadtree, where {x, y, …, K} are combined into a single ordinal value that is easily compared, searched, and indexed against other Morton numbers.
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Release files for pymorton 1.0.5
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymorton-1.0.5-py3.6.egg | Legacy Egg format | - | - | Details |
| pymorton-1.0.5-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
| pymorton-1.0.5-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 13.6 kB
Release files / pymorton-1.0.5-py3.6.egg
| Download URL | pymorton-1.0.5-py3.6.egg |
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| Size | 4.6 kB |
| Tags | Egg |
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Release files / pymorton-1.0.5-py2.py3-none-any.whl
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| Size | 4.4 kB |
| Tags | Python 2 Python 3 |
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Release files / pymorton-1.0.5-py2.7.egg
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| Size | 4.5 kB |
| Tags | Egg |
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