On Mon, Oct 7, 2013 at 8:52 PM, Markus Neteler <[email protected]> wrote: > r.series | r.statistics2 | t.rast.aggregate.* | t.vect.what.strds > ... > method Aggregate operation > options: average,count,median,mode,minimum,min_raster,maximum, > max_raster,stddev,range,sum,variance,diversity,slope, > offset,detcoeff,tvalue,quart1,quart3,perc90,quantile, > skewness,kurtosis > > r.in.lidar | r.in.xyz | r3.in.xyz | r.statistics > method Statistic to use for raster values > options: n,min,max,range,sum,mean,stddev,variance,coeff_var, > median,percentile,skewness,trimmean > default: mean > > I would suggest to streamline this (and personally opt for the > r.series way of naming the methods; e.g., the "n" is easily > overlooked, the "count" less so).
+1 Moreover min and max are functions in python, so from my point of view it is much better minimum and maximum to avoid possible conflicts. Pietro _______________________________________________ grass-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-dev
