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 Münster
Heisenbergstraße 2, 48149 Münster, 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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