search for: redcells

...b="Longitude",ylab="Latitude") abline(h=27.5) abline(h=lat+0.5) abline(v=97.5) abline(v=lon+0.5) text(blackcells$lon,blackcells$lat,pop) # the red cells will be centered on the corners of 4 black cells lat2<-rep(seq(28.5,34.5,by=2),4) lon2<-rep(seq(99.5,105.5,by=2),each=4) redcells<-data.frame(lat=lat2,lon=lon2,value=NA) display the red cells rect(lon2-1,lat2-1,lon2+1,lat2+1,border="red",lwd=2) nblackcells<-dim(blackcells)[1] nredcells<-dim(redcells)[1] for(redcell in 1:nredcells) { close4<-rep(NA,4) closen<-1 for(blackcell in 1:nblackcells) { if...

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 longitudes into a dataframe. Thanks. On Sun, May 20, 2018 at 3:52 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi lily, > It's not too hard to do it usin...

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 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, 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