Thanks for the reply.

I think i was assuming it was going to be a more complicated task than
it need be.

Time for me to start experimenting with some code.

Martin.



On 30 June, 12:50, Rossko <[email protected]> wrote:
> > Now i've spent a while searching for info on geospatial databases but
> > not found anything that suggests how i can store my data - the data
> > will be a value between 1 and 4 for each 100m square of the area that
> > the map represents.
>
> Row = location, value
>
> > What geospatial types can i save my data as so i can easily create a
> > query to return coverage for a lat/lng?
>
> You needn't use geopspatial thingies at all for simple querying, if
> you store your lats and longs seperately
>    Row = lat , long , value
> it is easy to get a rectangle's worth
>     Select where (westbound > long > eastbound) and (southbound >
> lat ....
> with some tweaking if your data or queries cross the dateline.  This
> is quite adequate for selection of data to populate a client map.
> Won't do if you are looking for complex analysis of irregular areas.
> However it could be used in conjunction with other methods, e.g. to
> obtain a radius around a point first select a subset in a containing
> square, then do more complicated individual radius testing which is
> just arithmatic.
>  (In practice a radius-around-point query can be constructed directly,
> and will only become inefficient with very large datasets.  See
> Google's classic "store locator" example, all done with no spatial
> database.)
>
> The spatial stuff becomes useful if you would be seeking complexity
> e.g. points lying in the intersection of two irregular polygons

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