Il 13/12/2013 20:18, Radim Blazek ha scritto: >> Can you describe some examples where 2-98% is a problem (data type, >> number of bands, map content, features/phenomena represented by those >> 2+2%,...) so that we can think about it better?
Example #1 (less problematic): dtm and their legend are always shown wrong; newbies do not understand why Example #2 (more serious): rasterizing sparse vectors (e.g. rivers) results in a black rectangle, as the number of pixels with valid data is <2%. In fact, I think we should help users more, e.g. by applying non linear colour scaling (log, exp) in case of very skewed raster values distribution: if data are more or less normally distributed, no cut is applied, and linear scaling is used; if they are badly skewdw or with outliers, apply a non linear colour scaling. With some thinking, this should solve most if not all user cases, without asking a normal user to understand much about raster stats. However, in my case the general setting "use min/max" does not seem to be working. Thanks for your thoughts. -- Paolo Cavallini - www.faunalia.eu QGIS & PostGIS courses: http://www.faunalia.eu/training.html _______________________________________________ Qgis-developer mailing list Qgis-developer@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/qgis-developer