This is the first time I'm using ko-kriging in gstat. My problem is that
I'm not sure how to prepare the data frame to supply to co-kriging when the
variable of interest and auxiliary variables are not measured at the same
locations.
Data frame with the variable of interest, z_ar, is voi_gs
>
I could use some guidance finishing a co-kriging script. I have rain
data, and elevation for each rain gauge. I have successfully make an
ordinary kriging of the rainfall. Now I'd like to try to use the
elevation as an auxiliary variable to improve the prediction. I have
On 06/04/2014 07:15 PM, Micha Silver wrote:
I could use some guidance finishing a co-kriging script. I have rain
data, and elevation for each rain gauge. I have successfully make an
ordinary kriging of the rainfall. Now I'd like to try to use the
elevation as an auxiliary variable to improve
Hi,
This might be an easy question for many of you.
In the literature on co-kriging I have noticed that co-kriging is often used
when the co-variable is more abundant than the target variable. Is this an
assumption that must be met when conducting co-kriging?
Regards,
Alex Lechner
On 03/02/2011 07:21 AM, Alex Lechner wrote:
Hi,
This might be an easy question for many of you.
In the literature on co-kriging I have noticed that co-kriging is often used
when the co-variable is more abundant than the target variable. Is this an
assumption that must be met when
