Hi,

----- Original Message -----
> > I had to modify the coordinates of your raster and your polygon
> > because the 900917 SRID do not exist by default in spatial_ref_sys,
> > but this example returns the x and y coordinates (a well as the
> > point geometry and the value) of every pixels intersecting a
> > polygon.
> 
> If I understand this right, SRID 900917 is a custom coordinate system
> for the (i,j) pixel coordinates of the image? Wouldn't this mean that
> you have to have a different SRID for every tile (raster) of the
> image, since each tile starts with (1,1)?

No. We deal with meteorological data rather than data images, and apart from 
topography data (which can be pretty massive), none of our raw data is tiled.

A raster for us typically represents one meteorological parameter (e.g., 
temperature, daily precipitation, etc.) for a given time and data source. A 
typical database of the kind we are  working on now would hold such data for 
several different parameters over lengthy time periods (30-50 years * daily 
values * # parameters * # data sources) for about 3-5 TB of data. For a limited 
system we might have only one raster definition, but a typical database would 
probably have a handful or so.

A query using polygons as described above would, e.g., be to extract all the 
data points within a region (a county, for instance) and aggregate the results 
(typically avg, min or max) for each day or month over a thirty year period. 
The result is outputted in all sorts of interesting graphs interactively, so we 
need to do this in an effective manner. Not necessarily with sub-second 
response times (our users do understand that they are asking for a lot of 
data), but still snappily enough that people don't need to go out to lunch 
while waiting for their data. :-)

We already do simple polygons with our existing WDB system, but:
- The algorithm is imprecise (just something simple that was hacked together at 
need).
- It doesn't handle more complex polygons.
- Isn't fast enough (not optimized at all).

Thus our current interest in PostGIS raster.

Regards,

Michael Akinde

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