Hi Pierre, take a look at the following link:
http://github.com/davetroy/geohash-js/tree/master/README
Creating an arbitrary bounding box may overlap Geohash 'fault lines'
which can be very non-contiguous in terms of sorting.
On Sep 4, 4:35 pm, Pierre <[EMAIL PROTECTED]> wrote:
> Thanks for your reply Adam.
>
> That's true "doesn't imply there are no poi outside of the
>
> > bbox which don't also satisfy this.".
>
> But, then, it means this heuristic : "SW Geohash / NE geohash then GQL
> for points > to SW and < to NE" will retrieve points also located
> outside bounding box ...
> What is it then ? are we looking for a Minimum bounding rectangle ?
> But this program returns also outside points... where is the magic ?
> Why does everybody spring around geohash then ?
> This heuristic returns an exact set of points located in a bounding
> box as you could say a car cost between 100 and 10.000 dollars...No
> precision at all.
>
> So, I thought I missunderstood how to use geohash but it seems it's
> not the case.
>
> Strange.
>
> Is there any geohash master over there to explain if yes or no it is
> possible to be precise for points located in a bounding box with
> geohash and gae ?
>
> Regards,
>
> Pierre
>
> On 4 sep, 23:02, Adam <[EMAIL PROTECTED]> wrote:
>
> > No idea really.
>
> > Though assuming
>
> > sw < poi < ne
>
> > for all poi in the bbox, doesn't imply there are no poi outside of the
> > bbox which don't also satisfy this.
>
> > The implications of this:
>
> > sw = geohash.Geohash('speq0uw18pb50')
> > ne = geohash.Geohash('spvg2gn5bpb08')
>
> > bb = sw + ne
> > bb.bbox()
> > (0.0, 39.375, 11.25, 45.0)
>
> > are interesting.
>
> > A
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