Hello Edzer
How do I alter the time lags used in the variogram call when I am calculating a space time variogram? I could not see any description of the way to do this in the variograms help page.
Thanks, Barry
-----Original Message-----
From: r-sig-geo-bounces at r-project.org [mailto:r-sig-geo-bounces at r-project.org] On Behalf Of Edzer Pebesma
Sent: 14 June 2012 23:06
To: r-sig-geo at r-project.org
Subject: Re: [R-sig-Geo] Problem with semi variance estimates in space time variogram (gstat)
I believe the sample variance of the data should equal the semivariance
averaged over all distances (in space and time).
You computed this over a very restricted (space time) range.
A large scale trend in the data could lead to a strong difference
between semivariances and sample variance; think of evaluating the
variogram of z=x+y, where x and y both range from 0 to 1000, and the
varioram is evaluated up to distance 10.
On 06/14/2012 05:47 PM, Rawlins, Barry G. wrote:
Hello
The variograms function in gstat is returning semi-variance estimates
which appear to be two orders of magnitude lower than what I expect from
calculating the variance of the data in the attached space time object
created with the STFDF function:
library(gstat)
library(spacetime)
breaks<-seq(0.5,12.5,1)
var_all <- variogram(VMC~1,sp_time_var, bounds=breaks, cutoff = 12.5) #
VMC is the numeric data to calculate a sp-time varigram
plot(var_all) # note the low values ranges on the scale <0.15
var(sp_time_var at data$VMC) # variance is 11.5
So I would expect the variance in the upper part of the graph to
approach a value around 11.
Have I mis-specified the variogram function? I know from gstat that one
had to specify a gstat object, but here I thought specifying the
spacetime object was the right way to proceed and that VMC~1 was the
correct syntax?
Any advice much appreciated.
Barry
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