Convert Lat-Lon to UTM and reverse

library(PBSmapping)
utm <- structure(list(x = c(160915.9, 161253.9, 161253.9), 
y = c(2573771, 2573763, 2573763)), .Names = c("x", 
"y"), row.names = c(NA, -3L), class = "data.frame")

datainUTM<-data.frame(cbind(utm$x/1000, 
                            utm$y/1000, 
                            rep(0, dim(utm)[1]), 
                            1:dim(utm)[1]))
names(datainUTM)<-c("X", "Y", "PID", "POS")
attr(datainUTM, "projection") <-"UTM"
attr(datainUTM, "zone") <-18
datosLL<-convUL(datainUTM)

> datosLL
         X       Y PID POS
1 -78.3133 23.2383   0   1
2 -78.3100 23.2383   0   2
3 -78.3100 23.2383   0   3

Alternative

library(sp)
library(rgdal)
orig <- data.frame(lat = c(23.2383,23.2383,23.2383), 
                   long = c(-78.3133,-78.3100,-78.3100), 
                   elv = c(4.01, 4.00, 4.00))
coordinates(orig) <- ~long+lat
proj4string(orig) <- CRS("+proj=longlat +ellps=WGS84")
orig <- spTransform(orig, 
         CRS("+proj=utm +zone=18 +north +units=m +ellps=WGS84"))
         
> orig
          coordinates  elv
1 (160915.9, 2573771) 4.01
2 (161253.9, 2573763) 4.00

3 (161253.9, 2573763) 4.00



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