[Qgis-user] Fwd: qgis - v.vol.rst from grass

Francois Chartier fra.chartier at gmail.com
Sun Oct 28 11:04:49 PDT 2018


Thanks for the tip!

On Sun, Oct 28, 2018, 13:46 Nicolas Cadieux, <nicolas.cadieux at archeotec.ca>
wrote:

> Hi,
> Some form of Kriging is probably best.  But it requires a very good
> understanding of each data set and its distribution on the variogramme.
> Make sure you study each variable separately for each layer. If you need to
> query the data first and save the result to a new file, that will be two
> steps.  Having only the data you need will reduce the amount of
> manipulation errors.  Keeping track of data manipulation is easy if you
> have a good file convention.  Ex data.shp becomes data_query_z<250.shp.
> Good luck,
> Nicolas
>
> Le 28 oct. 2018 à 13:29, Francois Chartier <fra.chartier at gmail.com> a
> écrit :
>
> I am trying to interpolate particle size of soils, which i will then
> transform into a permeability.
> the option to stack multiple raster is the path i am going to use, and i
> think kriging is the probably the most suited for soil properties. Inverse
> distance should be good and lighter in terms of computation.
> i have to figure out to run the interpolation based on a query result.  i
> am not sure if this has to be a 2 step process or 1 step.
>
> On Sun, Oct 28, 2018, 11:34 Nicolas Cadieux, <nicolas.cadieux at archeotec.ca>
> wrote:
>
>> Hi,
>>
>> This is interesting.  Basically the end result is a multi band raster,
>> which can also be done by stacking multiple band rasters.  I don’t know
>> anything about this v.vol.rst algorithm but it sound interesting. I do do
>> see a problem though. Your data sets may not all like to be interpolated
>> with a single algorithm. So unless you can modify the interpolation
>> algorithm for each  band, you will probably end up with a bad raster data
>> set.  The chosen algorithm must work like the phenomenon you are trying to
>> study.
>>
>> As an example, using a simple TIN to predict the weather will most likely
>> fail as weather pattern don’t work like a TIN. Inverse distance weight
>> would probably be better.
>>
>> Nicolas
>>
>> > Le 28 oct. 2018 à 11:00, Francois Chartier <fra.chartier at gmail.com> a
>> écrit :
>> >
>> > Hi
>> >
>> > Is the plugin v vol rst available from within qgis?  i didnt see it in
>> the list of vector plugin from grass.
>> > i am looking for a 3d interpolator and i believe only grass can do this
>> in open source.
>> > Are there other plugins that can do 3d interpolation?
>> > by 3d i am not referring to interpolation of elevation, but by
>> interpolation of 3d dataset with xyz + attribute (ex: soil moisture), with
>> data points vertically stacked, and would need to interpolate verically and
>> horizontally.
>> >
>> > thks
>> > f
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