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Generalized Geohash/pt: mudanças entre as edições

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Linha 167: Linha 167:


The illustration shows how to obtain the grid of 32 rectangular cells from the grid of 64 square cells.
The illustration shows how to obtain the grid of 32 rectangular cells from the grid of 64 square cells.
[[Arquivo:HilbertCurve64grid-merging32grid.png|centro|580px]]


The most important property of Geohash for humans is that it '''preserves ''spatial hierarchy'' in the ''code prefixes'''''. <br />For example, in the "1 Geohash digit grid" illustration  of 32 rectangles, above, the spatial region of the code <code>e</code> (rectangle of greyish blue circle at position 4,3) is preserved with prefix <code>e</code> in the "2 digit grid" of 1024 rectangles (scale showing <code>em</code> and greyish green to blue circles at grid).
The most important property of Geohash for humans is that it '''preserves ''spatial hierarchy'' in the ''code prefixes'''''. <br />For example, in the "1 Geohash digit grid" illustration  of 32 rectangles, above, the spatial region of the code <code>e</code> (rectangle of greyish blue circle at position 4,3) is preserved with prefix <code>e</code> in the "2 digit grid" of 1024 rectangles (scale showing <code>em</code> and greyish green to blue circles at grid).
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