Hi everyone!
I interpolated observed precipitation on a grid. I also kept variance (from
krige) and error (from krige.cv). I have some questions about the
signification of those quantities.
I obtain some interesting results. For example, the variance from "krige" is
around 24 and 40 (mm? s
Hi, I have 2 sets of data points. One is a grid, consisting of 87 points. The
other is 300 meteorological stations.
I'd like to chose 10 of the grid points and I'd like to have the nearest
station for each of my 10 grid-points.
Is there a function that does it?
I have R 2.4.0, with gstat and
Hi everyone,
I'm trying to do a surface map like this one :
http://img63.imageshack.us/my.php?image=terreeu4.jpg
Of course, my domain is smaller :)
My entry are like that (polar stereographic grid from a numerical model):
latlongData
40-77.024.0
42 -77.223.0
41
ok, seems to be the path to success!
Thanks again!
Roger Bivand <[EMAIL PROTECTED]> wrote: On Mon, 23 Oct 2006, bertrand toupin
wrote:
> Hi, earlier, I used those functions to transform a lat-long database to a
> Lambert Azimuthal Equal Area (LAEA) :
>
> Lam_proj <- p
Hi, earlier, I used those functions to transform a lat-long database to a
Lambert Azimuthal Equal Area (LAEA) :
Lam_proj <- project(cbind(Grille$x, Grille$y),"+proj=laea +lat_0=latitudem_grid
+lon_0=longitudem_grid +x_0=0 +y_0=0 +a=6370997 +b=6370997
+units=m")
Now that my calculations is don
oh...ok! I'm indeed using it on a large area. Thanks!
[EMAIL PROTECTED] wrote: > hi, me again :)
>
> I've read that in the help of krige.cv :
>
> Note:
>
> Leave-one-out cross validation seems to be much faster in plain
> (stand-alone) gstat, apparently quite a bit of the effort is spe
hi, me again :)
I've read that in the help of krige.cv :
Note:
Leave-one-out cross validation seems to be much faster in plain
(stand-alone) gstat, apparently quite a bit of the effort is spent
moving data around from R to gstat.
Since I have 6 ensemble of 2300 stations, I was w
ovariance matrix; the most common is
that you have duplicate observations (i.e. two or more observations on the
same location). Use zerodist to find out.
--
Edzer
bertrand toupin wrote:
> Hi everyone, another obstacle towards the achievement :)
>
> I'm trying to do a kriging of my
Hi everyone, another obstacle towards the achievement :)
I'm trying to do a kriging of my data on a regular grid. My data is organized
like :
Donnees (the data matrix)
Period x(km) y(km) Stations z(m)
1 400 400 22.5 120
1 430
Hi! It's me again. I've tried everything this morning and it seems to
work perfectly. so a big thank you to eberyone that answered.
However, I still have a last question regarding this matter. You said :
"+proj=laea +lat_0=45 +lon_0=-100 +x_0=0 +y_0=0 +a=6370997 +b=6370997 +units=m
with
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