I have a similar problem that I need to solve. I need to be able to
visualise a Geological fault in 3-D. I need to interpolate the x y z data
and then visualise it on its side. Im not sure if or is capable of doing
this?

Thanks


On Tue, Dec 3, 2013 at 4:02 AM, Mercutio Florid <floridmercutio@yahoo.com>wrote:

> I want to map out a mostly flat area of land, 300 meters on a side.
>
>
> I want to make (x,y,z) triples where x and y vary between -150 and 150 and
> there is just one z value.
>
>
> Eventually I will try to use graphics to actually draw this, but my first
> problem is that I need to get 90601 values by interpolating just 13 actual
> measurements.  The measurements are currently unsorted, which might cause
> errors with some functions, and they are in a matrix that looks like this:
>       X    Y Value
> 1    20  135   105
> 2  -127   69   106
> 3   -98   47   107
> 4   -39   69   105
> 5    49   47   105
> 6   108   69   107
> 7    -9    3   106
> 8   -39    3   106
> 9  -127  -63   105
> 10  -39  -41   108
> 11  -39 -107   106
> 12   79  -63   107
> 13   20 -129   107
>
>
> The syntax for the output seems pretty easy:
> x_coord<-seq(from=-150,to=150)
> y_coord<-seq(from=-150,to=150)
> planebreadth=301
> spaceArray<-array(0,c(planebreadth, planebreadth,1))
>
> But what I need to do is somehow interpolate 90601 values into spaceArray,
> based on just 13 measurements.
>
> I looked through some introductory R tutorials such as
>
> cran.r-project.org/doc/manuals/R-intro.html
>
> and I didn't see any examples that seemed to cover this kind of problem.
>
>
>
> I did some web searches and there seem to be many, many ways to do
> interpolation.  There are packages like mgcv and DiceKriging.  There are
> various packages that mention splines in their descriptions, such as cobs.
>
>
> What is the easiest way to interpolate this kind of data?  Thanks.
>
>         [[alternative HTML version deleted]]
>
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>


-- 
Shane

	[[alternative HTML version deleted]]

