similar to: save output of loop

I have 100 data files, which contains very huge data sets of location details ( e.g latitude, longitude, time, temp) Now I would like to save the all data of these 100 files in r object, so I can reload data any time. * Every file has different length of data latitude <- NULL longitude <- NULL time <- NULL temp <- NULL for ( i in 1:100) { data<-

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

r-help lattice adepts: I have a question which is somewhat geospatial, so I posted to r-sig-geo rather than here: https://stat.ethz.ch/pipermail/r-sig-geo/2012-November/016757.html > summary: How to overlay a geographical map on each panel in a lattice > (or Trellis), e.g., of levelplot's? Note I am not inquiring about > creating choropleth maps[,] which Sarkar 2008 covers quite

Hi R users, I have a question about data processing. I have such a dataset, while each black grid cell has a few attributes and the corresponding attribute values. The latitude and longitude of the center of each grid cell are given also. Then I want to average the attribute values from four adjacent grid cells to get the average value for the center of each red grid cell. Thus, there are the

Hi lily, There are one or two assumptions to be made here. First is that the latitude and longitude values of the "black" cells are equally spaced as in your illustration. Second, that all latitude and longitude values for the "red" cells fall at the corners of four "black" cells. You can get the four "black" cells by finding the lat/lon values that are

Hi lily, It's not too hard to do it using dataframes. Getting the indexing right is usually that hardest part: # these values are the centers of the black cells lat<-rep(28:38,11) lon<-rep(98:108,each=11) pop<-sample(80:200,121) # just use the data.frame function blackcells<-data.frame(lat=lat,lon=lon,pop=pop) plot(0,type="n",xlim=c(97.5,108.5),ylim=c(27.5,38.5),

Thank you for your help in advance. I am trying to pull some data back from a web service library(httr) sample2 <- GET("https://elevation.mapzen.com/height?json={\"range\":false,\"shape\":[{\"lat\":40.7,\"lon\":-76.5}]}&api_key=mycode") result2 <- content(sample2) height <- result2$height[[1]] I would like to put by own latitude

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):

Hello I am a new user of R . and I ve problem with R and netcdf . I succed installation , I could use all examples . But when I take my netcf it is different . I want to do statistic on this kind of file . 1) first calculate mean . my data is like that through ncdump -h test.nc netcdf test { dimensions: lat = 301 ; lon = 401 ; time = UNLIMITED ; // (80 currently)

I am new to the world of R/programming so this may be a really easy question. I thank you for your patience and help in advance I would like the characters km^2 to be displayed on the plot subtitle as km squared - two as a superscript. I would also like to have the numbers from the data set for longitude and latitude to be rounded to four decimal places. Thank you. plot (

a) you need to read the help pages on the paste function... more likely you are looking for the paste0 function because extra spaces will most likely break the GET request format. b) quotes do not become "stuck" as \" ... that is a visual representation intended to clarify that that quote is not terminating the string but is actually part of it. If you want to see the contents

Hi Jim, Thanks. It works. I now have more complex problems. If at each blackcell, there are two variables such as pop and mood. For each variable, there are daily records in one year, so 365 records for pop and 365 records for mood. The averaged values for the redcells should be daily records too. What kind of format do you recommend for this problem? Right now, I just get the latitudes and

summary: how to convert a 3D array (as obtained from ncdf4::ncvar_get) to a dataframe suitable for use by lattice::levelplot(), e.g., levelplot(conc ~ lon * lat | lev, data = data.frame) details: I have atmospheric data in netCDF files specifying gas concentrations over a 3D space with dimensions longitude, latitude, and (vertical) level. I need to plot the data by level. Since there are

Thanks to the lattice gurus on this list, and having reference to the excellent open-access Sarkar 2008 ISBN 978-0-387-75968-5 e-ISBN 978-0-387-75969-2 http://dx.doi.org/10.1007/978-0-387-75969-2 I now know how to label lattice panels by variable value: see thread starting @ https://stat.ethz.ch/pipermail/r-help/2012-November/329450.html (and demonstrated below). This allows me to use

Dear R-helpers, I get GPS readings with bug counts (bugs meaning insects in this case) made along rows in crop fields and use these to make maps of bug distribution. The GPS readings are not quite accurate enough for my purpose, so since I know what row each reading is made in, I adjust the latitudinal coordinate using: grd<-lm(lat~lon+Row,data)

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

Hi All, I have a data frame with three columns i.e., pc, lat, lon. The pc column is populated with list of postcodes, and I want to execute R command that can get me the lat and lon for the every item in the pc column and populate the respective lat and lon columns. Is there any package that could be used? Any help will be really appreciated. Many Thanks and Kind Regards -- Muhammad

Hi, I am using the package ncdf to create netCDF files and I want to mimic the the header of an exiting netCDF file created outside of R. Below is what the existing header looks like (part of it that is different): netcdf ccd1984_05_08 { dimensions: lat = 1974 ; lon = 1894 ; time = UNLIMITED ; // (1 currently) variables: int time(time) ;

I would like to request help with the following: I am trying to use a Generalized Additive Model (gam) to examine the density distribution of fish as a function of latitude and longitude as continuous variables, and year as a categorical variable. The model is written as:   gam.out   <-  gam(Density ~ s(Lat) + s(Lon) + as.factor(Year))   The fitted model prediction of the link function is

I am using following codes to plot map library(sp) library(rgdal) library(maps) library(gplots) library(clim.pact) library(fields) source("/R/PlotGridded2DMap.R") source("/R/image.plot.fix.R") source("/R/image.plot.plt.fix.r") seasonal_plot<-function(input,lonll=-180,latll=-90,lonres=5.,latres=3.75,write_file=TRUE,The_title=NULL){ if(is.null(The_title)){