Hamish wrote: > > An outstanding issue is 'random' colortable for floating point rasters. I > > don't if this is possible. Still only integer rasters are supported. > > you could do it by splitting into ranges first, e.g. like r.stats or > d.histogram's nsteps= option.
You can even use the map's quantisation rules. But the main issue is whether it's sensible to assign a random colour table to an FP map. IMHO, a random colour table only makes sense if the number of categories is small. If there are many categories (e.g. an integer DEM), it's likely that the "clusters" of adjacent, same-valued cells will actually be individual cells. In that situation, a random colour table will just give you "snow". A secondary consideration is that a random colour table requires one rule for each category, which can result in very large colour tables, which can be slow to create (IIRC, the time taken to create a colour table is proportional to the square of the number of entries). IOW a random colour table only makes sense if the data consists of discrete categories rather than a scalar value. Integer maps can be either categories or scalars, but FP maps are always scalars. -- Glynn Clements <[EMAIL PROTECTED]> _______________________________________________ grass-dev mailing list [email protected] http://grass.itc.it/mailman/listinfo/grass-dev
