On Sat, 3 Nov 2018 at 11:28, Francois Chartier <[email protected]> wrote:
>
> Hi,
>
> I am using Microsoft Access to populate a data set at regular intervals along 
> the vertical axis between two elevation ranges (50 to 350 masl) and have the 
> attribute (which does not exist) of that elevation to become the attribute of 
> the above data point.  example at 124.4, attribute at location 1 is A,  
> therefore at 124 attribute becomes A, and this down to the next data point at 
> example 121.6 masl where it is B (you will at location 1: at 124=A, 123=A, 
> 122=A).
> The goal being to interpolate different elevation slices at regular intervals 
> as data points are not all at the same elevations depending on location.
> I am able to do this with a Cross Join query in access and then removing any 
> intervals above top and bottom.  this is quite fastiduous, and i am wondering 
> if i can do this straight in qgis, or
> if i can run an interpolation with a condition that the value at location x,y 
> equals the next above attribute value.  this would keep the attribute table 
> much smaller.

There's nothing directly available out of the box which does this, but
it sounds like the perfect candidate for a little Python Processing
script algorithm, if you've got some Python experience or can contract
someone who has.

Alternatively, you may be able to create a graphical model which also
does this, using a combination of:
- set Z value (to set the first feature's z values)
- array of translated features (to create the "stacked" features at
different heights)
- field calculator (to populate the attribute values)

Nyall


>
> thanks
> F
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