similar to: Lat Lon NetCDF subset

Displaying 9 results from an estimated 9 matches similar to: "Lat Lon NetCDF subset"

2008 Jul 09
0
"Rotated Lat-Lon" projection in mapproj
Hi, I'm trying to plot a field obtained from the atmospheric model WRF-NMM which uses a "Rotated Lat-Lon? map projection. The WRF documentation mentions that: ? Rotates the earth's lat/lon grid such that the intersection of the equator and prime meridian is at the center of the model domain. ? Within the rotated framework the grid spacing is constant, but in an earth-relative
2012 Jun 26
2
Drawing (lon,lat) coordinates onto the image of a world
Given a set of latitude and longitude coordinates pairsĀ (stored in variables "latitudevals" and "longitudevals"), I would like to plot them onto the image of a equirectangular world map. I would like to plot each coordinate pair with a red circle, if possible. Does anyone have any suggestions as to how I go about doing this, whether using R or using another program like Google
2011 Nov 08
1
from points in Lon/Lat to physical distance in dist class
Dear R-listers, Here, I would like to hearing helps from you. I have GPS data (multiple points in the geographic scale) in longitude/latitude. I intend to calculate distance (in kilometer) among such points and output the distance matrix in dist class. I have gotten some progress, but I still can not get final goal. Could please give me any directions/advice? This email cc. to Mr. Pierre, the
2008 Oct 07
2
masking a regular lat/lon grid to extract map boundaries
Dear R-helpers, I have lat/lon coordinates of regularly spaced grid points, about 4Km apart, covering the entire US continental region. I would like to mask this rectangular grid in order to extract all and only the grid points within a specific region. Today I want to extract Montana, say, from this grid, and I am hoping to somehow use the returned value of the function
2007 Apr 04
5
how to image.plot a XY grid file into a lat-lon map
Hi All, I have a netcdf gridded file with LCC projection. I can easily use image.plot to visualize it. However, as the axises are in X,Y, not Lat and Lon, I could not add state or country maps onto it (or lat lon information). I do have a grid2d file that describes the lat and lon for each (X,Y) grid, but the lat and lon are not regularly spaced, so I could not use image.plot. Does anyone know
2010 Jan 05
3
R matching lat/lon pairs from two datasets?
Hello, I am trying to match lat/lon from one dataset with the lat/lon from a second dataset and use that rows data for calculations. I am using match, but this is finding the first match and not comparing the pair, how can I determine if the lat/lon are the same? See example below. Is there a better way to determine to a matching pair of lat/lon values? Example Datasets: > data2
2017 Aug 28
0
Extracting subset from netCDF file using lat/lon and converting into .csv in R
Two questions: 1. Is the order of the dimensions shown what is shown if you look at str(ncin) - I mean shown at the end where it describes the variable and its dimensions? 2. Is you problem how to subset the netcdf file, how to write to the .csv file, or both? -Roy > On Aug 28, 2017, at 2:21 PM, Eeusha Nafi <eshad002 at gmail.com> wrote: > > I have a series of nertCDF files
2017 Aug 28
3
Extracting subset from netCDF file using lat/lon and converting into .csv in R
I have a series of nertCDF files containing global data for a particular variable, e.g. tmin/tmax/precipiation/windspeed/relative humuidity/radiation etc. I get the following information when using *nc_open* function in R: datafile: https://www.dropbox.com/s/xpo7zklcmtm3g5r/gfdl_preci.nc?dl=0 File gfdl_preci.nc (NC_FORMAT_NETCDF4_CLASSIC): 1 variables (excluding dimension variables):
2013 Apr 22
7
Multiple lon lat points in the map with ggplot2
Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934