Hi John,<br><br>I've had good success with Option 1, but I'm not sure I understand all of the conditions you've mentioned. I assume that you intend to display these tiles in a Google Maps mashup when you're done? If so, using TileCache's tilecache_seed.py would allow you to pre-generate the tiles using Mapserver initially, and then display them in the map - without ever calling on Mapserver again. The major advantage I see to this method is that Mapserver can aggregate all of the separate layers and display them in a common projection.<br>
<br>Good luck,<br><br>Roger<br>--<br><br><div class="gmail_quote">On Thu, Dec 4, 2008 at 7:07 AM, John Jameson <span dir="ltr"><<a href="mailto:jjmapping@gmail.com">jjmapping@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<br>
I need to make tiles compatible with Google maps out of this mess. The<br>
outcome needs to be the typical pyramid of tiles where each detailed zoom<br>
level has 4x the number of tiles than the level above.<br>
<br>
Here are the things I've considered strategy-wise:<br>
<br>
1. Combine everything into a single map file and then let MapServer serve<br>
the tiles (through TileCache). I can then go through the area of data I'm<br>
interested in and collect the tiles and save them. The super advantage of<br>
this strategy is that I can test it by having it serve the tiles live.<br>
It'll be slower than having them pre-computed and that isn't ultimately<br>
acceptable because I'll need offline use of the tiles and won't have<br>
MapServer. Still, it allows for great testing before the tile collection<br>
begins. The disadvantage is that I fear I'll run out of space with hundreds<br>
of raster maps and another hundred shapefiles (each with 20-30 layers). I<br>
fear I'd have to re-gen MapServer with all of the layers needed. Back on<br>
the plus side, it seems like MapServer will "quilt" the maps together<br>
nicely. This strategy has me scared about resource size and speed needed.<br>
<br>
</blockquote></div><br>