Dear Micha,
I realized that the addon is for vector, so I converted my raster (that's what I have) to points but even when downsampled is was very slow, actually (~480000 points), I was not able to wait for it. So, I created a workaround for sparse huge point clouds loaded into a raster map. The method is not exact, this is a kind of approximation (as raster is, always). We start from "startvocer", created with r.in.lidar in my case: Type of Map: raster Number of Categories: 0 Data Type: FCELL Rows: *28222* Columns: * 79670 * Total Cells: *2248446740* [image: Szövegközi kép 2] zoom: [image: Szövegközi kép 3] final: [image: Szövegközi kép 5][image: Szövegközi kép 4] The final vector map in my case is one vector area.... it could now be used to set MASK for raster operations later on... *PROCESS (resolution degradation and buffer size /100/ should be tailored to application:* g.region raster=startcover # original resolution is 1m g.region res=10 r.resamp.stats --overwrite input=00001_rec4@kana output=00001_rec4_int method=minimum r.buffer --o input=00001_rec4_int output=lasmaskbuf distances=100 # let the "paint" flow to fill gaps and smooth edges r.mapcalc --o expression="lasmaskbuf2=if(isnull(lasmaskbuf),null(),1)" # make all values 1 in the buffer to let r.to.vect create one area r.to.vect -s --overwrite input=lasmaskbuf2 output=lasmaskbufvec type=area # make vector of the buffer v.generalize --overwrite input=lasmaskbufvec@kana type=area output=lasmaskbufvecgeneralized method=sliding_averaging threshold=10000 # make simpler v.buffer --o input=lasmaskbufvecgeneralized@kana type=area output=final distance=-100 # cut back Best regards Robert > > 2017-07-19 11:56 GMT+02:00 Micha Silver <[email protected]>: > >> >> >> On 07/19/2017 11:57 AM, Robert Kuszinger wrote: >> Hope about the addon: >> https://grasswiki.osgeo.org/wiki/AddOns/GRASS7/vector#v.concave.hull >> >> -- >> Micha Silver >> cell: +972-523-665918 >> >> >
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