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