On Wed, 29 Mar 2017, Vaclav Petras wrote:

As Soeren mentioned in the other part of the thread, use r.univar to get
the statistics. Don't rely on just looking at the resulting raster map.
There can be things like outliers which may throw the visualization off.

Vaclav,

  Here are the results of r.univar on the output of r.mapcalc "output_diff =
blocked_h_max - open_h_max":

n=140652
null_cells=71271
cells=211923
min=-1.89342188835144
max=0.00093058729544282
range=1.89435247564688
mean=-5.03205256742558e-05
mean_of_abs=5.24979771199771e-05
stddev=0.00847518705371129
variance=7.18287955953955e-05
coeff_var=-16842.4056389523
sum=-7.07768257713542
first_quartile=-7.4142e-09
median=0
third_quartile=2.60843e-09
percentile_90=7.45058e-08

  With no experience interpreting r.univar output I'm not sure what the
above tells me about the two maps. Yes, I see a small range and many null
cells, but I expect that because 4 cells on one input DEM are set about 0.6m
higher elevation than those on the other input DEM.

Rich
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