I found a fairly simple example of how to do this but I cant get it to work for me. I'm pretty new to R
library(rgdal)
xy <- cbind(c(118, 119), c(10, 50))
project(xy, "+proj=utm +zone=51 ellps=WGS84")
[,1] [,2]
[1,] -48636.65 1109577
[2,] 213372.05 5546301
But this is with example numbers. I have thousands of coordinates I have to transform and I cant figure out how to get them from my table to into this script
My data set has 3 columns, ID, X, and Y. How can I transform them using this equation? I've been stuck on this for weeks
To ensure that appropriate projection metadata are at every step associated with the coordinates, I'd suggest converting the points to a SpatialPointsDataFrame
object as soon as possible.
See ?"SpatialPointsDataFrame-class"
for more on how to convert simple data.frames or matrices to SpatialPointsDataFrame objects.
library(sp)
library(rgdal)
xy <- data.frame(ID = 1:2, X = c(118, 119), Y = c(10, 50))
coordinates(xy) <- c("X", "Y")
proj4string(xy) <- CRS("+proj=longlat +datum=WGS84") ## for example
res <- spTransform(xy, CRS("+proj=utm +zone=51 ellps=WGS84"))
res
# coordinates ID
# 1 (-48636.65, 1109577) 1
# 2 (213372, 5546301) 2
## For a SpatialPoints object rather than a SpatialPointsDataFrame, just do:
as(res, "SpatialPoints")
# SpatialPoints:
# x y
# [1,] -48636.65 1109577
# [2,] 213372.05 5546301
# Coordinate Reference System (CRS) arguments: +proj=utm +zone=51
# +ellps=WGS84
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