Hei,
Non-parametric linear spatial interpolation algorithm Ordinary Kriging
using geoR package
library(geoR)
# 1. Create a geodata object (wMatrix contains coords and data
# ? as.geodata ---> for more info
my_geoData <- as.geodata(wMatrix, coords.col=1:2, data.col=3);
# 2. Create a vario
rg] On Behalf Of Jon Olav Skoien
> Sent: Thursday, April 04, 2013 6:57 AM
> To: Alfred Oswago
> Cc: r-help@r-project.org
> Subject: Re: [R] help with kriging interpolation
>
> I am not sure which soil example you refer to (meuse?), but it should
> anyway be fairly easy to get a
I am not sure which soil example you refer to (meuse?), but it should
anyway be fairly easy to get a single interpolation, just give a single
point as the prediction location. The easiest is probably to start with
the automap package or the intamap package, where the variogram fitting
etc is do
You may want to look at a GIS related package in R. The soil sampling
example makes sense.
Anupam.
On 4/4/13, Jeff Newmiller wrote:
> I am no expert on kriging, but I do know that your question desperately
> needs a reproducible example [1] that illustrates the actual problem you are
> encounte
I am no expert on kriging, but I do know that your question desperately needs a
reproducible example [1] that illustrates the actual problem you are
encountering.
[1]
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
--
All,
I am new to using R and know some basics. I wish to use kriging in R to
do the following:
given data Y =f(X1,X2,X3,.,Xn) --1000+ irregular measured data set.
I would like to be able to get a single value y given sinle input set
(x1,x2,x3,...xn)
A google search on this takes me lier
6 matches
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