Hi,

we have the confusing situation of naming the same statistic in different ways:

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).

Also the order might be revisited and standardized...?

Markus