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
On Wed, 18 Jun 2008, Debarchana Ghosh wrote:
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 mea
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, Segmentati
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)
> - (estimat
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).
To extract the gwr.e, just do this:
residuals.gwr<-test500.gwr$SDF$gwr.e
and the estimated Y would be:
est.gwr<
>
>>
>> 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
Hi,
I'm sorry to post a rather off-topic question here, but as a new sp
user and total novice in coordinates and projections questions, I'm
facing a problem you may help me to solve. Please ignore this post if
it is too much noise.
I've got two map files (a MapInfo file and an ESRI shapefile) fro
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
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
minor