Hi! I'm trying: > eugrd025EFDC <- readOGR(dsn="eugrd025EFDC",layer="eugrd025EFDC") v <- polygonValues(p=eugrd025EFDC, Br, weights=TRUE)
where > str(eugrd025EFDC,max.level=2) Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots ..@ data :'data.frame': 18000 obs. of 5 variables: ..@ polygons :List of 18000 .. .. [list output truncated] ..@ plotOrder : int [1:18000] 17901 17900 17902 17903 17899 17898 17904 17897 17905 17906 ... ..@ bbox : num [1:2, 1:2] 2484331 1314148 6575852 4328780 .. ..- attr(*, "dimnames")=List of 2 ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots > summary(Br) Cells: 13967442 NAs : 0 Min. 0.00 1st Qu. 0.00 Median 0.00 Mean 48.82 3rd Qu. 0.00 Max. 4999.00 so quite large objects. The problem is that polygonValues() has been running (and not completed the task) for more than 2 h on a intel core i7 machine with 16 Gb RAM (Dell Precision M6500), so a pretty powerful machine. Is there any way I could speed up this process? Also, is there anything I could do in order to take better advantage of the 8 processing threads? Currently, I see only 1 cpu working for R processes and the rest remain pretty inactive Thanks Agus _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
