Message-ID: <57334F8B.7030200@uni-muenster.de>
Date: 2016-05-11T15:28:11Z
From: Edzer Pebesma
Subject: spsample bug?
In-Reply-To: <CAHMizkPYCE70GWeD9xVMtSR4Qn2z2Aj9Cj3roTy9rKm=5k=VVQ@mail.gmail.com>
On 11/05/16 14:51, Juta Kawalerowicz wrote:
> Hi I encountred a problme when running a loop to generate randomly
> distributed points within a polygon. The error I get is:
>
> Error in .local(x, n, type, ...) :
> iteration did not converge; try enlarging argument iter
did you try enlarging argument iter? For me this worked:
...
points <- spsample(dry.grid.u, n = n, type = "random", iter = 6)
>
> Here is the code which allows to get this error (although you will get it
> for different i). Any ideas would be much appreciated.
>
> Juta
>
> ###import polygon shapefile from Dropbox
> con <- url("https://www.dropbox.com/s/b6v2e14dr6rn3zw/spsample.RData?raw=1")
> load(con)
>
> #see what's inside
> plot(dry.grid.u, col="red", axes=TRUE)
> class(dry.grid.u)
>
> #let's say we want 11 points generated
> n<-11
> #works fine for doing it just once
> points<-spsample(dry.grid.u,n=n,type="random")
> plot(points, add=TRUE)
>
> #but when looped over many times there is a problem
>
> for (i in 1:5000){
> print(i)
> points<-spsample(dry.grid.u,n=n,type="random")
> }
>
> [[alternative HTML version deleted]]
>
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--
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of M?nster
Heisenbergstra?e 2, 48149 M?nster, Germany; +49 251 83 33081
Journal of Statistical Software: http://www.jstatsoft.org/
Computers & Geosciences: http://elsevier.com/locate/cageo/
Spatial Statistics Society http://www.spatialstatistics.info
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