If you want to have efficient caching it is crucial that clients ask for
the tiles that you have already generated. Basically they need to know
the grid that you are basing your tiles on (origin of the grid, size of
each tile in terms geographical extent and in terms of pixel size). And
you need to define this for every zoom level (because for a given
resolution the tiles may not cover the full extent exactly).
The result is a set of grids, aka gridset, which all your clients need
to know about and use. The most commonly used, but rarely the best, is
the one Google- and Bing Maps use for Spherical Mercator.
Not the right person to ask what raster approach is the most efficient,
but converting the JPEGs to GeoTIFFs with overviews and inner tiling
will probably be quiet fast, even though they take up more space.
Performance on that end is less important if you can use tile caching.
You can have them act as one layer using imagemosaic.
-Arne
On 12/14/12 14:21 , Jonathan Moules wrote:
Hi List,
A few generic questions.
First: What are gridsets actually for? I know how to create them (the
documentation is very good for that), but I can't figure out what
they're for.
Second: I have a number of large rasters in JPEG2000 format (up to
several GB in size). GeoServer can't access these (we're not going to
use the extension). I have FME so can do lots of processing on them if
needed: What's the best way to serve these up? I was thinking of
tiling them (WMS can serve tiled data right?). But then the question
becomes, which tiling system do I use? There seem to be several:
imagePyramid -
http://docs.geoserver.org/stable/en/user/tutorials/imagepyramid/imagepyramid.html?highlight=tiling
JDBC -
http://docs.geoserver.org/stable/en/user/tutorials/imagemosaic-jdbc/imagemosaic-jdbc_tutorial.html?highlight=tiling
imageMosaic -
http://docs.geoserver.org/stable/en/user/tutorials/image_mosaic_plugin/imagemosaic.html
What are the advantages/disadvantages of each? I'm guessing some are
easier to create/use and possibly faster.
Thanks,
Jonathan
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