| reproject {plotKML} | R Documentation | 
This wrapper function reprojects any vector or raster spatial data to some referent coordinate system (by default: geographic coordinates on the World Geodetic System of 1984 / WGS84 datum).
## S4 method for signature 'SpatialPoints'
reproject(obj, CRS, ...)
## S4 method for signature 'SpatialPolygons'
reproject(obj, CRS, ...)
## S4 method for signature 'SpatialLines'
reproject(obj, CRS, ...)
## S4 method for signature 'RasterLayer'
reproject(obj, CRS, program = "raster", tmp.file = TRUE, 
      NAflag, show.output.on.console = FALSE, method, ...)
## S4 method for signature 'SpatialGridDataFrame'
reproject(obj, CRS, tmp.file = TRUE, program = "raster", 
      NAflag, show.output.on.console = FALSE, ...)
## S4 method for signature 'SpatialPixelsDataFrame'
reproject(obj, CRS, tmp.file = TRUE, program = "raster", 
      NAflag, show.output.on.console = FALSE, ...)
## S4 method for signature 'RasterBrick'
reproject(obj, CRS)
## S4 method for signature 'RasterStack'
reproject(obj, CRS)
| obj | Spatial* or Raster* object | 
| CRS | object of class  | 
| program | reprojection engine; either raster package or GDAL | 
| tmp.file | logical; specifies whether to create a temporary file or not | 
| NAflag | character; missing value flag | 
| show.output.on.console | logical; specifies whether to print the progress | 
| method | character; resampling method e.g. | 
| ... | arguments evaluated in the context of function  | 
In the case of raster and/or gridded maps, by selecting program = "GDAL" gdalwarp functionality will be initiated (otherwise it tries to reproject via the package raster). This requires that GDAL are installed and located from R via paths().
obj needs to have a proper proj4 string (CRS), otherwise reproject will not run.
Pierre Roudier, Tomislav Hengl and Dylan Beaudette
Raster package (https://CRAN.R-project.org/package=raster)
GDAL (http://GDAL.org)
paths, projectRaster, spTransform, CRS-class
## example with vector data:
data(eberg)
library(sp)
library(rgdal)
coordinates(eberg) <- ~X+Y
proj4string(eberg) <- CRS("+init=epsg:31467")
eberg.geo <- reproject(eberg)
## Not run: ## example with raster data:
data(eberg_grid25)
gridded(eberg_grid25) <- ~x+y
proj4string(eberg_grid25) <- CRS("+init=epsg:31467")
## reproject to geographical coords (can take few minutes!):
eberg_grid_ll <- reproject(eberg_grid25[1])
## much faster when using GDAL:
eberg_grid_ll2 <- reproject(eberg_grid25[1], program = "GDAL")
## optional: compare processing times:
system.time(eberg_grid_ll <- reproject(eberg_grid25[1]))
system.time(eberg_grid_ll2 <- reproject(eberg_grid25[1], program="GDAL"))
## End(Not run)