Hello to all,
I have been trying to find the following since quite a while but I guess I was
simply using the wrong terms to express myself.
The following shall describe what I am really looking for in R.
I wish to know if there is an easy way to obtain that value using already
preexisting
Hello to all,
I wish to add minor tick mark to the already existing major tick marks on the
following plot
I wish those minor tick marks to be shorter and grey
Here is an example...
data(meuse.grid)
m = SpatialPixelsDataFrame(points = meuse.grid[c(x, y)], data = meuse.grid)
spplot(m,
Thanks a lot,
I understand what you meant now.
I was like you said the general the fact that the computed means used to
produce de SSErr value was obviously weighted and there to get a true R2 the
same weighted means had to be used in the computation for the SSTot...
Thanks a lot for your
Hello Dr. Pebesma and all other 1989 readers...
Believe me, I would have been much happier, if I could comprehend this tiny
little detail that you refer to as :
It looks quite OK; I suspect however that instead of using
mean(s.v$gamma) for SSTot, for this mean the same weighting scheme
]]@polygons[[...@coords -
round(p...@polygons[[i]]@polygons[[...@coords, digits)
}
###
union - unionSpatialPolygons(pol, ID=rep(1, times=length(p...@polygons)))
plot(r)
plot(union, add=T)
Robert
On Sat, Dec 4, 2010 at 10:00 PM, Sébastien Durand v8ex...@gmail.com wrote:
Hello
Hello to all,
Is there an elegent way or an already exisiting function that would allow to
smooth out the edge of a polygons (an object of class SpatialPolygons SP)
In my case I have a polygon edge made out of stair cases... so if would appear
much better smoothed...
Thanks to all.
S.
Ok here is my latest development on the topic! But I still have a question! At
the end I still get segmented polygons!
library(akima)
library(maptools)
library(raster)
data(akima)
# define de dimension of grid
dimgrid=50
# Interpolate to regular grid
ak.li=interp(akima$x, akima$y, akima$z,