What about using the fuzzy logic modules? -k.
Please excuse brevity. Sent from tiny pocket computer with non-haptic feedback keyboard. On Wed, Dec 14, 2022, 13:38 Bernardo Santos via grass-user < grass-user@lists.osgeo.org> wrote: > Hi, > > I am trying to produce scenarios of past land cover, before hydropower > reservoirs were built. To do so, I need to fill empty pixels from a raster > in the locations where the reservoirs are currently present, using as input > the actual land cover map. I tried doing that with r.neighbors (taking > method=mode) with neighborhoods of increasing size, to replace null pixels > with the most common land cover class in the neighborhood. I also tried > that with r.fill.stats which is basically the same thing. > However, the results gets very homogeneous, since the interpolated null > cells always get the value of the most common land cover class. > > Do anyway know of a method in GRASS to perform a "probabilistic" > neirighborhood analysis, where cells in a neighborhood are given weights > (possibly related to the distance to the central cell and to their > frequency) and these weights are used to stocastically sample a value to > fill the central cell? > If not in GRASS, does anyway know of such a method in a different > platform, i.e. R? > > Thanks! > Best > Bernardo > _______________________________________________ > grass-user mailing list > grass-user@lists.osgeo.org > https://lists.osgeo.org/mailman/listinfo/grass-user >
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