I've recently started using R for spatial data. I'd be really grateful
if you could could help me with this. Thanks!
Sorry I don't provide a reproducible example. Please ask me if you have
any questions about the data.
I've extracted data from a multidimensional netCDF file. This file had
longitude, latitude and temperature data (for 12 months of a specific year).
From this netCDF I've got a data frame for January with these
variables: longitude, latitude, temperature.
With this data frame I've created a raster.
# Packages
library("sp")
library("raster")
library("rgdal")
library("ncdf")
library("maptools")
library("rgeos")
library("sm")
library("chron")
# Dataframe to raster
# Create spatial points data frame
coordinates(tmp.df01) <- ~ lon + lat
# Coerce to SpatialPixelsDataFrame
gridded(tmp.df01) <- T
# Coerce to raster
rasterDF1 <- raster(tmp.df01)
> print(tmp.df01)
class : SpatialPixelsDataFrame
dimensions : 103, 241, 24823, 1 (nrow, ncol, npixels, nlayers)
resolution : 0.02083333, 0.02083333 (x, y)
extent : 5.739583, 10.76042, 45.73958, 47.88542 (xmin, xmax,
ymin, ymax)
coord. ref. : NA
names : TabsM_1
min values : -18.1389980316162
max values : 2.26920962333679
There is no value for 'coord. ref.'
The projection of the original netCDF was WGS84. So I gave this
projection to the raster.
proj4string(rasterDF1) <- "+proj=longlat +datum=WGS84 +ellps=WGS84
+towgs84=0,0,0"
Then, I wanted to reproject my raster to another projection:
# Reprojecting into CH1903_LV03
# First, change the coordinate reference system (crs)
proj4string(rasterDF1) <- "+init=epsg:21781"
# Second, reproject the raster
rasterDF1.CH <- spTransform(rasterDF1, crs("+init=epsg:21781"))
At this point I get the following error:
Error in spTransform(rasterDF1, crs("+init=epsg:21781")) :
load package rgdal for spTransform methods
But the package rgdal is already uploaded! It must be something wrong in
the code!
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
