Dear sir,
Actually I realize that 0.02 tolerance is the best that incorporate the
variation in X coordinates differences. Then I used the points2grid with
tolerance=0.02 it worked till this step but as soon as I use the code:
gridded(A)<-TRUE
then same error message appeared. so that means the
On Fri, 2 May 2008, PUJAN RAJ REGMI wrote:
Dear sir,
My data has been acquired from ENVI 4.0 and it has the following information
regarding pixel size and projection system:
samples = 596lines = 440bands = 21
pixel size: 4.710294*4.70871
file type = ENVI Standard
header offset = 0
map inf
Dear sir,
My data has been acquired from ENVI 4.0 and it has the following information
regarding pixel size and projection system:
samples = 596lines = 440bands = 21
pixel size: 4.710294*4.70871
file type = ENVI Standard
header offset = 0
map info = {UTM, 1.000, 1.000, 564761.521, 5699816.36
On Fri, 2 May 2008, PUJAN RAJ REGMI wrote:
Dear list,
Thanks to Mr. Roger, I have now able to plot my data using image and sp
packages. Everything now seems ok for one type of data set where X and Y
coordinates are regularly spaced with tolerance less than 0.02. Now
I tried to plot with
Dear list,
Thanks to Mr. Roger, I have now able to plot my data using image and sp
packages. Everything now seems ok for one type of data set where X and Y
coordinates are regularly spaced with tolerance less than 0.02. Now I tried
to plot with another data set then soon I realize that X c
On Thu, 1 May 2008, PUJAN RAJ REGMI wrote:
Dear,
I followed the instruction given by Roger. But i got the following error
message; coordinates(A) <- c("x", "y")> gridded(A) <- TRUE>
greenchannel<-matrix(A[,3],nrow=155,ncol=191,byrow=TRUE)Error in
as.vector(x, mode) : cannot coerce to
vecto
On Fri, 2 May 2008, Bjarke Christensen wrote:
Hi,
I can't seem to find any implementation of spatial probit models in R.
Perhaps my limited understanding of spatial statistics is preventing me
from seeing what should be obvious, but it does not seem that the methods
in geoRglm are of help in th
