Armin
I had already switched the map projection to match the raster, but ran the
internal tiling and overviews as you suggested. However, didn't make a jot
of difference when rendering the raster. I wonder if it is to do with my
map definition of the raster layer and the way I am classifying it. Snippet
below, I know logical classification carries an overhead - found that out on
some of the vector data and discovered the benefits of classifying within
the shapefile (via the mapserver community), not sure what can done with a
raster layer!?
Chris
LAYER
NAME 'dem1'
DATA 'bathy_dd1.tif'
PROJECTION
"init=epsg:32631"
END #end projection
METADATA
"ows_title" "dem1"
"DESCRIPTION" "Bathymetry"
END #end metadata
TRANSPARENCY 100
TYPE raster
OFFSITE 255 255 255 # transparency color for raster layer
STATUS ON
TOLERANCE 8 #default is 3 for raster, 0 for vector
#TOLERANCEUNITS meters #default is meters,
[pixels|feet|inches|kilometers|meters|miles|dd]
TEMPLATE void
# CLASSITEM "[pixel]"
CLASS
NAME '< 5 (m Depth)'
EXPRESSION ([pixel] >= -5)
COLOR 182 237 240
END #end class
CLASS
NAME '5 - 10'
EXPRESSION ([pixel] >= -10 AND [pixel] < -5)
COLOR 161 218 237
END #end class
etc
On 3 September 2010 13:39, Armin Burger <armin.bur...@gmail.com> wrote:
> On 02/09/2010 22:39, Chris Jackson wrote:
> > Armin
> >
> > It is only a 50mb GeoTIFF of bathmetry for the UK continental shelf with
> 12
> > classes. It takes about 8 seconds to draw, I wasn't sure about using a
> > tileindex (my old app didn't), but will start using one. I also have a
> > slight mix in projections WGS 84 UTM zone 31N and UTM zone 30N, which I
> > think may slow things down too.
> >
> > Chris
> >
> > On 2 September 2010 20:13, Armin Burger<armin.bur...@gmx.net> wrote:
> >
>
> Just re-project all images to the projection used for your MAP, using
> eg. gdalwarp:
> # gdalwarp -s_srs "EPSG:32631" -t_srs "EPSG:32630" -co "TILED=YES"
> in_img.tix out_img.tif
>
> re-projects from UTM zone 31 to zone 30 and creates a GeoTiff with
> internal tiles.
>
> Then create overviews with gdaladdo, like
> # gdaladdo -ro your_img_file.tif 4 8 16 32
>
> The 4GB image I mentioned took 1-2 s to be rendered into the map image,
> depending on scale.
>
> armin
>
>
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