Hi all
I am trying to determine the distances between two datasets of x and y
points. The number of points in dataset One is very small i.e. perhaps
5-10. The number of points in dataset Two is likely to be very large
i.e. 20,000-30,000. My initial approach was to append the first dataset
to the second and then carry out the calculation:
dists <- as.matrix(dist(gis data from 2 * datasets))
However, the memory of the computer is not sufficient. A lot of
calculations carried out in this situation are unnecessary as I only
want approx 5 * 20,000 calculations versus 20,000 *20,000.
x <- c(2660156,2663703,2658165,2659303,2661531,2660914)
y <- c(6476767,6475013,6475487,6479659,6477004,6476388)
data2<-cbind(x,y)
x <- c(266500,2611111)
y <- c(6478767,6485013)
data1<-cbind(x,y)
Any suggestions on how to do this would be appreciated.
Regards
Andrew