[kepler-dev] Re: [seek-dev] RE: garp tools

[Ferdinando Villa]

Frank Warmerdam (author of GDAL/OGR) is also behind OSSIM
(www.ossim.org) which has the standard NN, bilinear and bicubic
resampling algorithms. There's also an API version of the core grass
libraries, but as I understand it's limited to i/o. As a plus, the guy
has been nice and responsive in all my previous dealings with him. All
in all, I don't think there's a shortage of open source GIS
functionalities now that JTS/GEOS exists (previously there was no
reliable o/s topology library at all, even with no opengis compliance).
It's just a matter of getting familiar with what's there, pick and
package what we need sensibly. To me it sounds like a better strategy
than striving to use ARCstuff for core functionalities, although knowing
that a bridge can be developed when needed is reassuring.

On Mon, 2004-02-02 at 01:40, Dave Vieglais wrote:
> One of the GDAL sample apps, gdal_translate provides crude resampling 
> implementation.  For the purposes of generating datasets compatible with 
> GARP, it should not be too hard to derive a solution from that code.  A 
> more general purpose solution would require a bit of effort though.
> 
> There is also a SWIG interface file for generating a python module - 
> might form the basis of a java interface as well.
> 
> DV.
> 
> Ferdinando Villa wrote:
> > Also have a look at GEOS (geos.refractions.net) for 2d topological
> > operators and functions, and its original JTS java implementation. I was
> > involved in its development and it's used in the GIS extension to
> > Postgres - many of the spatial operators in jts/geos are more robust
> > than arc-info's. Between GDAL, OGR and GEOS there's a good 75% of all
> > GIS functionalities imaginable. What I don't think is available directly
> > as a library is the reclassification/resampling, I don't think GDAL
> > provides that, and lifting the code from GRASS could be relatively hard.
> > But I would be happy to work on that remaining 25%, if nothing else
> > because of an old hate relationship with ESRI.
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