Hei Jukka, thanks a lot for thorough testing! (hope we find time for fixing the issues: i.e. raster paste error)
ok.. lets start with the easy one that I can anwser [Matthias may answer the other one on the styling]. to caclulate mean and variance for an attribute one can use >Statistics>Layer Attribute Statistics. However during my research I needed mean and variance for a particular attribute, but then with respect to a classification. For instance I have a layer of buildings and one (numeric) attribute describes the building type, e.g. 1=industrial, 2=housing, 3=commmercial. Also for each building I have the sales price. Now I want to know the mean and variance of the sales price accordings to each category. So this function should allow to do this. However, instead of the example above with classes formed by meaning, classes can be also derived with classification methods (see the other function). I hope the example makes the use of the function clear. Stefan > > And finally, I could not understand the meaning of the two attribute > selections in the "Calculate mean and variation" function. The description > is > "Calculates mean and variance for a specified attribute in accordance > with the classes, which need to be given." > > -Jukka- > > ------------------------------------------------------------------------------ Nokia and AT&T present the 2010 Calling All Innovators-North America contest Create new apps & games for the Nokia N8 for consumers in U.S. and Canada $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store http://p.sf.net/sfu/nokia-dev2dev _______________________________________________ Jump-pilot-devel mailing list Jump-pilot-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/jump-pilot-devel
