On 02/11/16 17:15, Markus Metz wrote:
On Wed, Nov 2, 2016 at 3:47 PM, Moritz Lennert
<[email protected]> wrote:
On 02/11/16 11:05, James Duffy wrote:

I can't register with osgeo to submit a bug as no-one has replied with a
'mantra' for me to do so... what a convoluted bug reporting system!

And in your opinion Moritz, does it look like my workflow will not be
possible unless I find a 64bit machine with a decent amount of RAM?


I'm not sure about the necessity of 64bit, but more RAM probably.

IIUC, all the stats of all the zones are put into memory during the run of
the module. Maybe a file-based store of the information might be possible
which would avoid this memory usage, but I'm not sure.

@MarkusM: could you have a look at this ? See
https://lists.osgeo.org/pipermail/grass-user/2016-October/075493.html for
the beginning of the thread. In short: James seems to be hitting memory
limits of r.univar and I'm wondering out loud whether there is something
that could be done about this...

As Anna wrote, the -e flag increases memory consumption of r.univar
considerably. A file based approach for extended stats of r.univar is
difficult because the number of values per segment is initially
unknown to r.univar, thus the amount of disk space needed for extended
stats for each segment is unknown.

I would rather use r.univar for standard stats and r.stats.quantile
for extended stats. The options for raster_statistics of
i.segment.stats would then reduce to "min, max, range, mean,
mean_of_abs, stddev, variance, coeff_var, sum, sum_abs", and a new
option, e.g. raster_percentiles could be added, accepting a list of
percentiles which can be directly fed by i.segment.stats to
r.stats.quantile percentiles=<list of percentiles>.

Ok, I'll look into this. The only disadvantage is that r.stats.quantile creates a new raster map for each percentile, which then have to be treated to extract the statistics, instead of allowing to print the results directly to a file. But I guess the overhead of that is worth the fact that it reduces memory usage.

Moritz
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