[R] Extracting point data using longitude and latitude from netcdf file using R
Ben Tupper
btupper at bigelow.org
Sat Jan 9 16:27:41 CET 2016
Hi,
Well, you have to extrapolate from that post that wherenearest is a function you must create on your own. Maybe something like this?
#' Find the index into a dataset that is 'closest' to a specified point.
#'
#' Adpated from https://stat.ethz.ch/pipermail/r-help/2011-March/272641.html
#' @param myPoint numeric, one point
#' @param allpoints numeric, one or more points
#' @return index into allPoints that myPoint falls closest to
wherenearest <- function(myPoint, allPoints){
d <- abs(allPoints-myPoint[1])
index <- which.min(d)
return( index )
}
I haven't tried the above.
You haven't provided much detail on what's in the file, but if it is a grid then perhaps you would find it easier to use the raster package. It has functions to read gridded data stored in ncdf files. It comes with a very good tutorial and makes working with gridded data a breeze. Using raster, you can bypass the nitty-gritty of getting data out of a ncdf file and just get to work on your data.
https://cran.r-project.org/web/packages/raster/index.html
https://cran.r-project.org/web/packages/raster/vignettes/Raster.pdf
Bon chance!
Ben
P.S. Do yourself (and everyone else on the list) a favor by making your email client use plain text rather than html or rich text when sending messages to the list. The html/rich text scrambles your code making it hard to read.
> On Jan 9, 2016, at 9:01 AM, Peter Tuju <peterenos at ymail.com> wrote:
>
> Thank you Be for the good guide, however no luck with the syntax used namely;
>
> ix0 = wherenearest( lower_left_lon_lat[1], lon )
> ix1 = wherenearest( upper_right_lon_lat[1], lon )
> iy0 = wherenearest( lower_left_lon_lat[2], lat )
> iy1 = wherenearest( upper_right_lon_lat[2], lat )
>
> # I end up with this error, "Error: could not find function "wherenearest"
>
> Is there any other way I can get the index corresponding/or rearing to the
> longitude and latitude of interests?
>
> _____________
> Peter E. Tuju
> Dar es Salaam
> T A N Z A N I A
> ----------------------
>
>
>
> From: Ben Tupper <btupper at bigelow.org>
> To: "r-help at r-project.org" <r-help at r-project.org>
> Cc: Peter Tuju <peterenos at ymail.com>
> Sent: Saturday, January 9, 2016 4:01 PM
> Subject: Re: [R] Extracting point data using longitude and latitude from netcdf file using R
>
> Hi,
>
> This post gives more details on how to transform your lat/lon values to row/column indices. The question and answer are specifically about the ncdf package, but the workflow is identical when using the ncfd4 package.
>
> https://stat.ethz.ch/pipermail/r-help/2011-March/272641.html
>
> Cheers,
> Ben
>
> > On Jan 9, 2016, at 7:14 AM, Anthoni, Peter (IMK) <peter.anthoni at kit.edu> wrote:
> >
> > Hi Peter,
> >
> > the start in nc_varget requires a latitude and longitude index, not the latitude and longitude in double format.
> > So you need to figure out what index your latitude and longitude correspond to, which will depends on what data are in your netCDF.
> >
> > it might have looked like that it worked for a positive latitude, but you got the data from the latitude index 6 or 7, depends on how the double was transformed into an integer.
> >
> > best regards
> > Peter
> >
> >> On 09 Jan 2016, at 12:28, Peter Tuju via R-help <r-help at r-project.org> wrote:
> >>
> >> I have data file in netcdf with three dimensions (x, y, t) and I want to extract a variable RAINC and RAINNC
> >> using longitude and latitude for a single point location with all the time, but no lucky. The syntax is as follows;;
> >> setwd( "/run/media/tuju/0767090047/extract_wrf_txt_file" )
> >> rm( list = ls() )
> >> library( ncdf4 )
> >> inp_file <- nc_open( "wrfout_d01_2016-01-07.nc" )time <- ncvar_get( inp_file, "Times" ) # Reading the time variabledar_lon <- 39.2dar_lat <- -6.866667
> >> RAINC <- ncvar_get( inp_file, varid = "RAINC", start = c( dar_lon, dar_lat, 1 ), count = c( 1, 1, -1 ) )
> >> RAINNC <- ncvar_get( inp_file, varid = "RAINNC", start = c( dar_lon, dar_lat, 1 ), count = c( 1, 1, -1 ) )
> >> RAIN <- RAINC + RAINNCRAIN_TABLE <- cbind( time, RAIN )
> >> write.table( RAIN_TABLE, "Dar_es_Salaam.txt", row.names = FALSE,
> >> col.names = c( "Valid Forecast Time", "Rain (mm)", sep = "\t " )
> >>
> >> # But no lucky with the red bolded syntax as I end up with the following error message> RAINC <- ncvar_get( inp_file, varid = "RAINC", start = c( Lon[2], Lat[2], 1 ), count = c( 1, 1, -1 ) )
> >> Error in Rsx_nc4_get_vara_double: NetCDF: Index exceeds dimension bound
> >> Var: RAINC Ndims: 3 Start: 0,4294967289,38 Count: 17,1,1
> >> Error in ncvar_get_inner(ncid2use, varid2use, nc$var[[li]]$missval, addOffset, :
> >> C function R_nc4_get_vara_double returned error
> >> However when I cahnge the latitude to postive it works fine. Note latitudes in the file data ranges from -16.71505 to 7.787529 as shown below;
> >> head(ncvar_get(inp_file, "XLAT"))
> >> [1] -16.71505 -16.71505 -16.71505 -16.71505 -16.71505 -16.71505
> >>> tail(ncvar_get(inp_file, "XLAT"))
> >> [1] 7.787529 7.787529 7.787529 7.787529 7.787529 7.787529
> >> ## So, how can I get the syntax correct? Please help _____________
> >> Peter E. Tuju
> >> Dar es Salaam
> >> T A N Z A N I A
> >> ----------------------
> >>
> >>
> >>
> >>
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> 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.
>
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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.
>
>
> Ben Tupper
> Bigelow Laboratory for Ocean Sciences
> 60 Bigelow Drive, P.O. Box 380
> East Boothbay, Maine 04544
> http://www.bigelow.org
>
>
>
Ben Tupper
Bigelow Laboratory for Ocean Sciences
60 Bigelow Drive, P.O. Box 380
East Boothbay, Maine 04544
http://www.bigelow.org
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