similar to: How to average values from grid cells with coordinates

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),

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

Hi lily, You could also create "blackcells" as a dataframe (which is itself a type of list). I used a list as I thought it would be a more general solution if there were different numbers of values for different grid cells. The use of 1 for the comparison was due to the grid increments being 1. If you had larger or smaller grid increments, you would use the grid increment size for the

Hello! I have a dataset with the dates and positions - Lat and Long columns How do I make a scatter plot? Do I have to cbind to combine the Lat and Long columns? Any suggestions will be much appreciated! Thank you Julia [[alternative HTML version deleted]]

Given a set of latitude and longitude coordinates pairs (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

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 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

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 (

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)

So, I''m working on a search engine of sorts that restricts results to your local area. I can successfully return all entries within 15 miles of a particular point, and I can successfully return all entries that match a search query, but I''m having trouble combining the two together and doing pagination on them. Basically, for the range query, you do a SQL query that returns all

I have some data files e.g 100 . and after for loop I would like to save all data in one single data frame file_s <- list.files(path = ".", pattern = "v2.0.2.txt", all.files = FALSE, full.names = FALSE, recursive = FALSE, ignore.case = FALSE) for (i in 1:100){ data = read.table(file_s[i],header=TRUE) lat = data[,7] # latitude lon

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)

Dear all, I have a dataframe of 3 columns, consisting of 'longitude', 'latitude' and a corresponding 'value'. Where identical 'longitude' and 'latitude' pairs occur more than once, I want their corresponding 'value' to be summed and the 'pair' to only appear once. For example: long lat value 10 20 5 6 2 3

Hello, I've been searching for a method of converting Lat/Lon decimal coordinates into actual distances between points, and taking into account the curvature of the earth. Is there such a package in R? I've looked at the GeoR package, but this does not seem to contain what I am looking for. Ideally the output would be a triangular matrix of distances. Thanks in advance, Paul Brewin

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

Dear All, I need to convert some Northing-Easting coordinates from the Gauss-Krüger system into latitude-longitude. Any suggestions on how to do it? Regards, Marco Marco Giannitrapani Statistical Consultant Tel: +44151373 5945 Email: Internet: http://www.shell.com [[alternative HTML version deleted]]

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

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