I've been constructing utilization distributions for 63 animal movement
trajectories using a Brownian bridge movement model with BBMM. I started
noticing after running the routine numerous times at different resolutions
that certain UDs would be grossly wrong, meaning instead of returning a
s
On Tue, 13 Jul 2010, Paolo Veneri wrote:
Hi,
I have a cross section of 158 spatial units. Robust LM tests suggest me to
estimate a Spatial Durbin Model (SDM). However, given the non-normality of
OLS residuals, the presence of
heteroschedasticity and the presence of one endogenous explanatory
v
Hi,
I have a cross section of 158 spatial units. Robust LM tests suggest me to
estimate a Spatial Durbin Model (SDM). However, given the non-normality of
OLS residuals, the presence of
heteroschedasticity and the presence of one endogenous explanatory
variable, I should not use the classic "lagsa
On Tue, 13 Jul 2010, Edzer Pebesma wrote:
spautolm gives me the following warning (from Matrix):
sres1=spautolm(formula = , listw=colw, family = "SAR", method
= "Matrix")
Warning message:
In determinant(x, TRUE) : This version of the Matrix package returns
|determinant(L)| instead of determin
spautolm gives me the following warning (from Matrix):
> sres1=spautolm(formula = , listw=colw, family = "SAR", method
= "Matrix")
Warning message:
In determinant(x, TRUE) : This version of the Matrix package returns
|determinant(L)| instead of determinant(A), i.e., a
*DIFFERENT* value.
If still
Look
?axis.POSIXct
Greetings Tobias
Dear all,
I 'm plotting flow time series, my time series is very short, and the length of
the time series is less than a week. When I plot it, it shows the x-axis in days
[Wed thu fri sat sun mon Tue], and I want it to show the x-axis in months.
For exam
