Hi Ben,
Thank you so much! This is exactly what I am looking for.
Best,
Han
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Dear Jui-Han,
I believe the following script does what you are looking after. The idea
is to start with the covariance matrix purely defined by the variogram
model (i.e. with the joint sill on the diagonal). Rescale this
covariance matrix first to correlations and then back to covariances
using
Hi all,
I am trying to get covariance matrix for kriging predictions. I used krige0
function in the gstat library with options fullCovariance=TRUE and
computeVar=TRUE. I got a covariance matrix but the values seem to be too
large. I converted the covariance matrix to correlation matrix and got
On 12/12/2013 08:20 PM, Jui-Han Chang wrote:
Hi all,
I am trying to get covariance matrix for kriging predictions. I used krige0
function in the gstat library with options fullCovariance=TRUE and
computeVar=TRUE. I got a covariance matrix but the values seem to be too
large. I converted
Dear Erin,
you might want to take a look at the gstat function variogramLine and set the
parameter covariance to TRUE. The argument dist_vector takes as well a
distance matrix and will then return a covariance matrix.
HTH, best wishes,
Ben
Hodgess, Erin hodge...@uhd.edu wrote:
Hi!
Here is
Erin,
http://ifgi.uni-muenster.de/~epebe_01/mstp/lec5.html
http://ifgi.uni-muenster.de/~epebe_01/mstp/lec7.html
contain some minimal, one-dimensional kriging functions that I used in
my class recently.
R markdown source files are on https://github.com/edzer/mstp
On 12/05/2013 04:36 AM,
-project.org
Subject: Re: [R-sig-Geo] covariance matrix
Erin,
http://ifgi.uni-muenster.de/~epebe_01/mstp/lec5.html
http://ifgi.uni-muenster.de/~epebe_01/mstp/lec7.html
contain some minimal, one-dimensional kriging functions that I used in
my class recently.
R markdown source files are on https
Hi!
Here is a goofy question, please: how do I get the covariance matrix based on
the estimated model, say exponential, please?
I was looking at the variogram function in gstat and I think that the gamma
values may be part of the solution, but I'm not sure how to finish it out.
I'm
