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On 07/31/2013 02:26 PM, Ralph Mettier wrote:
> Dear Edzer
>
> Thank you greatly for your reply. I have attempted to implement
> the solution you suggested, but either it's not what I was looking
> for, or more likely, I'm missing something. Currentl
Dear Edzer
Thank you greatly for your reply. I have attempted to implement the
solution you suggested, but either it's not what I was looking for, or more
likely, I'm missing something. Currently the relevant code passage looks
like this:
##
m.grid=data.frame(x=outgrid$V1,y=o
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Dear Ralph,
I guess you'd need to define three variables,
concA, precA and precB. Then, you can let precA and precB have
different neighbourhood specs, but make them statistically "identical"
by specifying the same variograms for precA and precB as w
I'm looking at two variables, concentration and precipitation, measured at
two networks of stations:
network A measures both variables at few (~30), widely spaced stations
network B measures only precipitation at many (~1800) densely spaced
stations
a decent correlation between the two variables
