Hi everyone- I am trying to fit an inhomogenous K function based to a large(ish) dataset. I have successfully executed this code on data sets with a smaller n.
> SPECIES.ppp planar point pattern: 1598 points window: rectangle = [564320, 564320] x [228490, 228500] units > lambda=density(SPECIES.ppp) > Lin=envelope(SPECIES.ppp,Linhom,nsim=5,simulate=expression(rpoispp(lambda)), + correction="border") Error: cannot allocate vector of size 244.5 Mb I am working on a Windows Vista OS with 3GB RAM, and I have attempted to increase the memory size using memory.limit(2000) within R and by adding --max-vsize=2000M to the end of the Target field in the shortcut tab of the R properties dialog box. I have also tried making a list of simulated patterns ahead of time, but I get the same error: > simpatterns=list() > for (i in 1:5)simpatterns[[i]]=rpoispp(lambda) > Lin=envelope(SPECIES.ppp,Linhom,nsim=5,simulate=simpatterns, + correction="border") Error: cannot allocate vector of size 244.5 Mb The spatstat FAQ suggest that a complete analysis should be feasible on a data set up of to 4000 points. Can anyone suggest ways to increase my memory limit or to modify my code to make this possible? I don't know what else to try!! Ideally, I would like to be able to make nsim=200, but I am trying to make it work with small numbers for now. Thank you, Erika Mudrak -- ------------------------------------------- Erika Mudrak Graduate Student Department of Botany University of Wisconsin-Madison 430 Lincoln Dr Madison WI, 53706 608-265-2191 mud...@wisc.edu http://botany.wisc.edu/waller/lab/Mudrak/ _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
