There's already geotorrent with 33 datasets for full datasets.

My thoughts for distributed map services would be to just devise a set
grid at different resolutions and pass WMS requests through something
like the coral cache.  That way if other applications use the same WMS
and make it so that their requests only use the same gridded tiles,
you can start to develop a network of cached queries.  Basically a
fully server end version of what ka-map does for cacheing -----but
this is getting off the current topic......

If we can distribute the work of maintaining high quality datasets and
also provide good macro style scripts, then anyone can update the
datasets as they can just start exactly where the last person had left
off and grab whatever updated data directly from NIMA or the Census or
whomever....


On 1/23/06, Jeremy Irish <[EMAIL PROTECTED]> wrote:
> Just a thought, but Bittorrent would be a great way to share large map 
> datasets. I personally don't have a public domain dataset of the world but if 
> someone did it would be an easy and economical way to share this information.
>
> Actually a bittorrent + mapserver solution is a novel one. You make a map 
> request to a location-based torrent and receive layer data from one of many 
> seeds. Looking at a way map caching works, the most active location would 
> offer the seed for that location.
>
> The major problem is it takes a whole lot of work to create a basemap that is 
> worth a darn, so people license their hard work (and rightly so). It would be 
> a nice, noble effort to provide this information but I have yet anyone take 
> the plunge and offer it for free. Perhaps as the geowanking community is 
> larger you'll start to see this kind of cooperation.
>
> /ramblings
>
> -----Original Message-----
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of David Bitner
>
>
> My initial thoughts were that I  have seen time and time again efforts
> to try to host these datasets that just hosting directions to get and
> process the datasets would get around all that.  With hosting like
> that, it wouldn't hurt to try to get some nice "nested" datasets that
> can go through the whole gammut of resolutions reasonably seamlessly
> hosted somewhere.
>
>
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