OK thanks! I'll see if I can find an old grass executable, compile in a VM
with r.binfer in it or fallback to QGIS and OpenBugs. I thought I'd poke
around cause I prefer analysis in GRASS over any other platform out there :)
I've started to assist indigenous nations with assertion and
protection/preservation of their rights with GIS. Some of these analytical
methods like fuzzy/boolean patch modelling, weighted overlays, bayesian
belief networks (BBN) allow them to translate their oral history and
ecological knowledge into tools that help them engage effectively and
meaningfully with other parties such as other nations/governments and
industries who have expressed interest in their lands and resources.
I SO wish I could code or even knew what to ask for in procurement for
these things cause I would.
Been a lowly user, bug reporter, package maintainer and crowd funder.
Continuing to find ways to feed back and wholly contribute into these FOSS
communities any way I can.
Donovan
On Sat., May 29, 2021, 03:12 Markus Neteler, wrote:
> On Sat, May 29, 2021 at 4:20 AM Donovan Cameron
> wrote:
> >
> > Evening,
> >
> > I'm attempting to analyze a set of layers (slope, aspect, vegetation,
> > soil, etc) that have been coded/scored based on expert opinion to output
> > a probability/suitability map.
> >
> > I'm looking to apply a bayesian belief network [1] and i've got the
> > raster layers ready for the inputs and coded like seen in this figure
> [2].
> >
> > There was a grass4 module called r.binfer [3] that did this and I can't
> > seem to find it with GRASS 78 - deprecated or replaced?
>
> The latest code trace which I could find is this one:
>
> GRASS GIS 5.5:
>
> https://github.com/OSGeo/grass-legacy/tree/releasebranch_5_5/src/raster/r.binfer
>
> I do not recall why the module has been abandoned in GRASS GIS 6
> (maybe no particular reason and a volunteer could update it...?).
>
> Another option might be to rely on R and use "rgrass7" to exchange
> data between GRASS GIS and R.
>
> Best,
> Markus
>
> > Searches lead me to either r.regression.multi [4] or r.learn.ml [5] but
> > i'm not sure where to start with these to get a BBN processed thru them.
> >
> >
> > SaultDon
> >
> > [1] https://www.gislounge.com/gis-bayesian-belief-networks/
> > [2]
> >
> https://www.sciencedirect.com/science/article/pii/S0169204618307497#f0010
> > [3]
> https://grass.osgeo.org/grass43/manuals/html_grass4/html/r.binfer.html
> > [4] https://grass.osgeo.org/grass78/manuals/r.regression.multi.html
> > [5] https://grass.osgeo.org/grass78/manuals/addons/r.learn.ml.html
> > ___
> > grass-user mailing list
> > grass-user@lists.osgeo.org
> > https://lists.osgeo.org/mailman/listinfo/grass-user
>
>
>
> --
> Markus Neteler, PhD
> https://www.mundialis.de - free data with free software
> https://grass.osgeo.org
> https://courses.neteler.org/blog
>
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