Torsten, On Apr 28, 2009, at 9:14 PM, Torsten Mohr wrote:
> Hello, > > i tried to display a country in a different color based on the > example at: > > http://trac.mapnik.org/wiki/XMLGettingStarted > > I tried applying a different color for some countries: > > <Filter>[POP2005] > 60000</Filter> > <PolygonSymbolizer> > <CssParameter name="fill">#ffcfc9</CssParameter> > </PolygonSymbolizer> > Yes, this filter will work as long as the countries are not __already__ filtered by a previous rule. > This should match for nearly every country, but the color shown is > not what > i expect. > > I'm not sure what's wrong, if POP2005 is contained in the this source: > <Parameter name = > "file">/usr/share/mapnik/world_boundaries/shoreline_300</Parameter> > Whats wrong is that you need to use a Shapefile with the population attribute (specifically a field/column named POP2005) which is found in the sample data linked to in the tutorial but NOT in the 'shorefline_300' shapefile. It is this shapefile that has that attribute: http://thematicmapping.org/downloads/TM_WORLD_BORDERS-0.3.zip > Also, a filter like [name]='Germany' would be great, but i'm not > sure how > to formulate it (use 'name'? Or 'country'? Or something different? > Match it to 'Germany'? Or 'Deutschland'?) It depends on your data. The above shapefile does have a NAME field and lists it as 'Germany' I checked that on a GeoDjango Demo site that displays the attributes of this same shapefile: http://geoadmin.dbsgeo.com/databrowse/world/worldborders/objects/72/ But the easiest thing is to just download the shapefile and open in Quantum GIS. > > Can anybody give me a hint on how to proceed best or how to > formulate the filters / rules? > You can also use Mapnik to introspect the shapefile, but the interface in Python is a bit hidden. I've just been working on this in trunk, however, so if you build Mapnik trunk you can do something like the example here: (which loops through various countries and applies a highlighted style) http://mapnik-utils.googlecode.com/svn/example_code/map_sequences/run.py Cheers, Dane _______________________________________________ Mapnik-users mailing list [email protected] https://lists.berlios.de/mailman/listinfo/mapnik-users
