Dear Members,
I am trying to fit a variogram model using fit.variogram function from the
gstat package. The figure showing my experimental variogram can be seen here:
https://i.stack.imgur.com/UZXw4.png
My code line for this operation is:
> c2.vgm.fit<-fit.variogram(c2.vgm.exp,vgm(nugget=0,
had (user:61, system:
0.01 , elapsed: 0.62).
Thank you again for your generous help.
Saubhagya
-Original Message-
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Friday, June 23, 2017 3:20 PM
To: Rathore, Saubhagya Singh
Cc: r-help@r-project.org
Subject: Re: [R] R version
generous help.
-Original Message-
From: Rui Barradas [mailto:ruipbarra...@sapo.pt]
Sent: Friday, June 23, 2017 12:03 PM
To: Rathore, Saubhagya Singh ;
r-help-ow...@r-project.org; r-help@r-project.org
Subject: Re: [R] R version 3.3.2, Windows 10: Applying a function to each
possible pair
um((D1[i,1:2]-D2[j,1:2])^2)),difference=(D1[i,3]-D2[j,3])^2)
D3<-rbind(D3,temp)
}
}
Thank you
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
r-help-ow...@r-project.org
Sent: Friday, June 23, 2017 10:47 AM
To: Rathore, Saubhagya Singh
Subject:
Hello Everyone,
I am resending this message as due to some reason, the message was not posted
on the list before.
I have two SpatialPixelDataFrames (a and b) which have few common
coordinates/locations. I need to identify these common coordinates and remove
them from both the dataframes.
Thou
wdata=xy2, nsim=1) # random field 2
yy<-rbind(yy1,yy2)
# Plotting the field
library(sp)
gridded(yy) = ~x+y
spplot(obj=yy[1])
## Code
ends=============
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Beh
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