Dear Dave,
I separate fitting of the deterministic (trend) and residual part of the
universal kriging model all
the time. Adding OK of residuals to the trend is fine, as long as the
regression model is estimated
using GLS (but many do it even if they use only OLS; the difference is often
hi Tom,
That was my impression from reading some introductory texts... I'll have
to see how the mgcv package fits the polynomial function to the
data...it isn't clear to me at first glance how it is accomplished.
Many thanks for your advice.
Dave
Tomislav Hengl wrote:
Dear Dave,
I separate
I want to clarify whether gwre ( previously it was gwr.e) is the estimated
Y
values?
No, gwr.e is (currently) the i'th element of the vector of residuals in
each GWR (that is for each fit point). On examination, neither it nor the R2
has any meaning when the fit points are not identical
Thanks a lot. I will surely do that.
Debs.
On Wed, Jun 18, 2008 at 11:37 AM, Danlin Yu [EMAIL PROTECTED] wrote:
Debarchana:
As Roger has pointed out, since gwr.e is the gwr residuals, it is easy to
calculate the estimated Y from the observed Y since residual = (observed Y)
- (estimated Y).
Hi,
I am having a problem with segmentation fault when I run my code using
PBSmapping. I have thought 'segfault' indicates either that my code is
wrong or that something is missing in this package.
When I run my code, a terminal on Ubuntu shows me:
Program received signal SIGSEGV,
On Wed, 18 Jun 2008, [EMAIL PROTECTED] wrote:
Hi,
I am having a problem with segmentation fault when I run my code using
PBSmapping. I have thought 'segfault' indicates either that my code is wrong
or that something is missing in this package.
When I run my code, a terminal on Ubuntu shows
