Dear Tom:

I'm sorry if I have not formulate correctly the question. 

I am running this:

#---------------------------------------------------
library(geoR)
x=read.table("Example.txt", header=TRUE)
class(x)
 
x<-as.geodata(obj=x,coords.col = 1:2, data.col = 3)
plot(x)
points(x,col=grey(seq(1,0,l=14)), main = "Regular Grid")
cloud1 <- variog(x, option = "cloud")
bin1 <- variog(x, option = "bin" , tolerance = 0) 

# graphic

plot(cloud1, main = "classical estimator" )
lines(bin1, type="p", lwd="4")
plot(bin1, lwd=2, main = "Classical estimator", xlim=c(0,150))
#---------------------------------------------------

But, "bin1" has not contain 14 bins.
How can specify it in geoR? Could you help me?

Thanks,
Gema









Gema Fernández-Avilés 

Department of Statistics
Faculty of Law and Social Sciences
University of Castilla-La Mancha at Toledo

http://www.uclm.es/profesorado/gemafaviles/



-----Mensaje original-----
De: r-sig-geo-bounces@r-project.org en nombre de Tom Gottfried
Enviado el: vie 27/04/2012 12:28
Para: r-sig-geo@r-project.org
Asunto: Re: [R-sig-Geo] geoR -- bins in experimental semivariogram
 
Please express in R what you have done
(see http://www.r-project.org/posting-guide.html)

Am 27.04.2012 12:13, schrieb GEMA FERNANDEZ-AVILES CALDERON:
>
> Dear list:
>
> I have a 5x5 regular grid 100x100. When constructing the experimental semivariogram using gerR() I expected to have 14 different distances.
> However, I obtained 10 semivariogram points corresponding to 10 bins.
>
> - Which is exactly a bin?

the lag class (an interval on the real line of distances over which the 
semivariances are averaged).

> - Which is the bin correspondence wiht the 14 initial distances.

that depends on what you refer to with "14 initial distances".

> - Why don't the first bin is not exactly 25?

I suspect because you did not specify it that way (i.e. first lag class 
corresponding to [0,25)).

Tom

> - The dataset is the following.
>
> Thanks in advance,
> Gema
>
> #########################################3
> x	y	dat
> 0	0	19.64253569
> 25	0	20.67413804
> 50	0	11.39907369
> 75	0	8.721311665
> 100	0	14.19476285
> 0	25	9.755908087
> 25	25	18.9788189
> 50	25	14.05059221
> 75	25	11.76423327
> 100	25	10.42562093
> 0	50	6.559737009
> 25	50	4.882232635
> 50	50	10.7619423
> 75	50	9.096456345
> 100	50	10.6894209
> 0	75	14.87976528
> 25	75	5.372505287
> 50	75	5.712214162
> 75	75	4.431458459
> 100	75	15.69477576
> 0	100	12.77014999
> 25	100	1.366809445
> 50	100	4.359141225
> 75	100	6.607783644
> 100	100	10.25674201
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> Gema Fernández-Avilés
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> Department of Statistics
> Faculty of Law and Social Sciences
> University of Castilla-La Mancha at Toledo
>
> http://www.uclm.es/profesorado/gemafaviles/
>
> 	[[alternative HTML version deleted]]
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> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo

-- 
Technische Universität München
Department für Pflanzenwissenschaften
Lehrstuhl für Grünlandlehre
Alte Akademie 12
85350 Freising / Germany
Phone: ++49 (0)8161 715324
Fax:   ++49 (0)8161 713243
email: tom.gottfried@wzw.tum.de
http://www.wzw.tum.de/gruenland

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