Dear list
I would like to expand the covariate dist of the meuse.grid dataset, of the
sp package,
to the south-east direction. The value of the covariate dist is relative
between [0,1].
Now, it is not clear for me how I shall calculate the distance between
a new gird point and the river (is
Hi Mark,
Thanks for the reproducible example. The problem is that when I look at
the sample variogram, the semivariance values start high and end low.
This is best illustrated by:
plot(variogram(theta_percent~1, sparse))
You see that there are outliers in the data that cause high
Dear R users,
I plan on using the command sp2WB to convert a .shp file to a .map file in
order to carry out some analysis in WinBUGS. Thanks for the threads I've
followed on how to do this.
The command itself is working fine and produces the map I would expect.
However to analyse the data for
I just uploaded a new version of automap (1.07) that fixes this problem.
It deletes fitted variogram models with a negative sill/range/nugget.
cheers,
Paul
Paul Hiemstra wrote:
Hi Mark,
Thanks for the reproducible example. The problem is that when I look
at the sample variogram, the
I took the expedient of detecting the negative range and recording the
offending time and space slice. Then I went back and checked each model
type individually.
This is perfectly acceptable but I did want to alert you to the
possibility that autofitVariogram and therefore autoKrige could
Hello guys,
I have a couple of questions regarding enfa (adehabitat package).
The first is related to this message: In predict.enfa(enfa1,
octopus.hab$index, octopus.hab$attr) :
the enfa *is not mathematically optimal for prediction*:
please consider the madifa instead.
I was wondering why
Hello Consuelo,
Have a look at:
Calenge, C., Darmon, G., Basille, M., Loison, A. and Jullien J.M.
(2008) The factorial decomposition of the Mahalanobis distances in
habitat selection studies. _Ecology_, *89*, 555-566.
See especially the section The MADIFA and the
I see, thanks for the explanation and the reference Clément. I'll read it!
Consuelo
-
Consuelo Hermosilla
PhD student
Departamento de Ecología y Biología Animal
Departamento de Bioquímica, Genética e Inmunología, Área de Genética
Facultad de Ciencias del Mar
Campus de As
Thanks. I'll pick it up as it becomes available.
Does the possibility exist that you would delete all models? In such a
case, what does the function return?
On 05/04/2010 05:49 AM, Paul Hiemstra wrote:
I just uploaded a new version of automap (1.07) that fixes this
problem. It deletes
Dear Kath,
The command itself is working fine and produces the map I would expect.
However to analyse the data for each polygon, I need to know which polygon
is which. How do I determine the ID for each polygon generated? I'm hoping
there is a better solution than figuring it out by hand...
Hi there,
Take the data of columbus(spdep) as an example. Say i is one of the
polygons, and j represents its neighbours. How to get the vlues of
sum(Wij*Xj)? Wij means the weights, which can be get by
nb2listw$weights.
Say Xj to be columbus$PLUMB. The problem is how to get the
sp does not do points-to-line distances, but can do point-to-point
distances. In the second section I resampled the river boundary so we
get a closer approximation, because more points. Maybe rgeos can be
expanded do the real point-to-line things (R != GIS?).
library(sp)
data(meuse.riv)
meuse.sr
On Tue, 4 May 2010, rusers.sh wrote:
Hi there,
Take the data of columbus(spdep) as an example. Say ?i? is one of the
polygons, and ?j? represents its neighbours. How to get the vlues of
?sum(Wij*Xj)?? ?Wij? means the weights, which can be get by
?nb2listw$weights?.
Say ?Xj? to be
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