Daniel,
You get no complaints on creating st:
st=STSDF(sp,time,data,index,endTime=delta(time))
class(st) should show "STSDF".
It remains that x$np is pointing at nothing when you get to
sample.STvariogram.
I'd type:
>sample.STvariogram to try and work out what it is actually doing.
Then try
My apologies, I accidentally sent an unfinished email, here is the complete
version of my question
Hello R-Sig-Geo,
As part of my masters thesis I am attempting to use spatio-temporal regression
kriging to make predictions with temperature data, and I was hoping that
someone might be able
Hello R-Sig-Geo,
As part of my masters thesis I am attempting to use spatio-temporal regression
kriging to make predictions with temperature data, and I was hoping that
someone might be able to give some insight as to how the algorithms work in
gstat. My data consists of daily temperature
Thank you so much for working on this, and I cannot wait to try it out. As
someone who uses both R and QGIS daily, this could be huge. I will report
back after install and testing!
Cheers,
Tina
On Sun, Jun 19, 2016 at 5:35 PM, Barry Rowlingson <
b.rowling...@lancaster.ac.uk> wrote:
> Jannes,
>
Dear John,
You'll need to install raster from source. Binaries are only available for
the previous, current and development versions of R.
Another option is that you are missing dependencies. We need to full error
message to see what's wrong.
Best regards,
ir. Thierry Onkelinx
Instituut voor
D
ear all,
I would like to install the following packages (raster, rgdal,
spatial.tools, gdalUtils, fields, gstat) of R 3.2.3 in Linux cluster
computers.
,
However, I tried install.packages("raster") and I got the following error:
package ‘raster’ is not available (for R version 3.2.3)
Could
Hello!
I'm looking for a real data set to apply nonparametric techniques developed
to geostatistical process. Specifically, I need examples with large data
size, of continuous spatial processes with non constant trend and high
spatial dependence.
Someone could tell me where can I find this kind