[R-sig-Geo] as.psp don't work for big shapefiles?

[Torleif Markussen Lunde]

Hi 

I tried to convert a SpatialLinesDataFrame with 
dim(var at data)
10615     4
and 153665 coordinate pairs.

It worked fine (as.psp(var)), but took about an hour to run.

sessionInfo()
R version 2.8.1 (2008-12-22) 
i386-redhat-linux-gnu        

locale:
LC_CTYPE=en_US.UTF-8;LC_NUMERIC=C;LC_TIME=en_US.UTF-8;LC_COLLATE=en_US.UTF-8;LC_MONETARY=C;LC_MESSAGES=en_US.UTF-8;LC_PAPER=en_US.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US.UTF-8;LC_IDENTIFICATION=C                                  

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] maptools_0.7-20 foreign_0.8-29  sp_0.9-32       spatstat_1.15-0
[5] deldir_0.0-7    gpclib_1.4-3    mgcv_1.4-1.1

loaded via a namespace (and not attached):
[1] grid_2.8.1      lattice_0.17-17

Do you get any error messages? Does traceback() return anything?

This probably did not help, but if you could provide some more information, it 
would be nice. You could also start as.psp and abort it (ctrl+c) and run 
traceback to see if anything happened.

Best wishes 
Torleif

On Thursday 26 March 2009 04:33:05 pm Quentin LEMOULAND wrote:
> Hello,
>
> I have written a code that nead to convert SpatialLinesDataFrame to psp in
> order to use statstat functions.
>
> This functiun works well.
> The problem is that when the shapefile is to big (all the little rivers of
> a region for example: 3000), the as.psp function doesn't return anything
> and var2 is nothing:
>
> if (class(var)=="SpatialLinesDataFrame")
>
> {var at data<-data.frame(c(1:dim(var at data)[1]))
>
> var2<-as(var,"psp")}
>
> When I just select a few rivers (100), no problem.
>
> Does anyone know how to solve it?
>
>
>
>
>
>
>
> 	[[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo at stat.math.ethz.ch
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo



-- 
Torleif Markussen Lunde
Centre for International Health/
Bjernes Centre for Climate Research
University of Bergen, Norway