Dear list members,
I'm trying to compute characteristics along steps (i.e. segments between
two points), based on underlying raster maps. The steps originally come
from radiotracking data, converted to ltraj objects (adehabitat). The
idea is to compute (for example) the habitat composition
Hello everybody
I am new on geostatistics so maybe my question is trivial or is already
answered (I can not find the solution in the thread list). I have a variogram
where I did not fix the nugget, because doing it was giving singular models.
I would like to know the nugget ratio of my
On 09/30/2010 04:13 PM, Arantzazu Blanco Bernardeau wrote:
Hello everybody
I am new on geostatistics so maybe my question is trivial or is
already answered (I can not find the solution in the thread list). I
have a variogram where I did not fix the nugget, because doing it
was giving
Sorry, this was too fast again:
v[1,gamma]
# or
v.m$psill[1]
are estimators of the nugget variance;
v.m$psill[1] / sum(v.m$psill)
is an estimator of the nugget-to-sill ratio.
On 09/30/2010 06:39 PM, Edzer Pebesma wrote:
On 09/30/2010 04:13 PM, Arantzazu Blanco Bernardeau wrote:
Hello
Dear list,
When I run a gwr using a model with two independent variables my local R2
only has NA values. I've read in some topic that this is problably because
the function cannot estimate localR2 correctly.
I tryed to get the same result with the columbus data, but was not able to.
Does anyone
Dear Robert,
I just understood the interest of 'crosstab' with 'mask', this is pretty
neat! Thanks for the suggestion.
However, I can see some potential drawbacks with this approach: as my
objective is to describe each step (each segment), I should first cut
each 'SpatialLines' into a list of
Jorge:
From what I see on your code, I would suspect that you kind of confuse
the bandwidth with numbers of nearest neighbor. In your code, you use
20, and I assume that meant the 20 nearest neighbors that you want for
GWR calibration. Yet you didn't specify the adapt parameter in the code,
