[GRASS-user] r.watershed speed-up
ivan marchesini
marchesini at unipg.it
Tue Jul 29 09:24:20 EDT 2008
First results of one test I did: excellent!!!
1392776 cells dem with steep slopes but also plain areas
r.watershed.fast: 7 seconds
r.watershed: 4 min and 14 seconds
no difference at all between the two generated network paths...
markus: many thanks..
Ivan
Il giorno lun, 28/07/2008 alle 23.14 +0200, Markus Metz ha scritto:
> Hello list,
>
> I'm not sure if this list is the right place or rather the developer list.
> For the A * Search algorithm in r.watershed (memory version without -m
> flag set, r.watershed.ram), I implemented a binary min-heap instead of a
> linear array to store points in ascending order relative to elevation.
> This improves the speed of <SECTION 2: A * Search> considerably, the
> larger the map, the larger the speed improvement. A region with about
> 1,800,000 cells is processed about 37 times faster than with the
> original routine. A region with about 11,000,000 cells is processed
> about 170 times faster than with the original routine (46.7sec vs.
> 2h12m9sec on my system). <SECTION 4: Watershed Determination> takes now
> the longest.
>
> Several tests (different region sizes, different DEMs) showed that the
> results of the binary heap version are very similar but not 100%
> identical to the original r.watershed, because of a slightly different
> treatment of cells with equal elevation in a binary min-heap compared to
> a linear array. Differences are found in difficult areas (equal
> elevation of several neighbouring cells) where there are several
> possible solutions for how water could flow. Still, compared with other
> hydrology analysis methods, e.g. r.terraflow, the results can be
> regarded as identical.
>
> The original code was only altered where necessary, only the sorting
> method is new, everything else is unchanged.
> Memory usage increases a bit, because a binary heap needs its own index
> for each analysed point (in addition to the other indices already needed
> by r.watershed.ram).
>
> My question is if there is interest in this faster version of
> r.watershed and if someone wants to test it.
> The source code is available on http://markus.metz.giswork.googlepages.com/
>
> Regards,
>
> Markus
>
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Ivan Marchesini
Department of Civil and Environmental Engineering
University of Perugia
Via G. Duranti 93/a
06125
Perugia (Italy)
Socio fondatore GFOSS "Geospatial Free and Open Source Software" http://www.gfoss.it
e-mail: marchesini at unipg.it
ivan.marchesini at gmail.com
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