I am trying to use the data on my own .csv file to create a netCDF file using the R package \"ncdf4\". My dataset is composed by 3 columns: longitude, latitude and temperatu
library(ncdf4)
filename="time.nc"
xvals <- seq(-177.5, 177.5, 5)
yvals <- seq(-87.5, 87.5, 5)
nx <- length(xvals)
ny <- length(yvals)
lon1 <- ncdim_def("longitude", "degrees_east", xvals)
lat2 <- ncdim_def("latitude", "degrees_north", yvals)
time <- ncdim_def("Time","months", 1:12, unlim=TRUE)
mv <- -999 #missing value to use
var_temp <- ncvar_def("temperature", "celsius", list(lon1, lat2, time), longname="CRU_Global_1961-1990_Mean_Monthly_Surface_Temperature_Climatology", mv)
ncnew <- nc_create(filename, list(var_temp))
print(paste("The file has", ncnew$nvars,"variables"))
#[1] "The file has 1 variables"
print(paste("The file has", ncnew$ndim,"dimensions"))
#[1] "The file has 3 dimensions"
# Some fake dataset based on latitude, to check whether the data are
# written in the correct order
data <- rep(yvals, each=nx)
# Add random -999 value to check whether missing values are correctly
# written
data[sample(1:(nx*ny), 100, replace = FALSE)] <- -999
ncvar_put(ncnew, var_temp, data, start=c(1,1,1), count=c(nx,ny,1))
# Don't forget to close the file
nc_close(ncnew)
# Verification
library(rasterVis)
out <- raster("time.nc")
levelplot(out, margin=FALSE)