Hi Bill, A while ago I devised a couple of functions to accumulate millions of geographic locations of events and then display the resulting matrix of values on an existing plot. This may be of use to you, at least in the visualization of the density of the locations. As your example data only included a few points, the resulting plot looks pretty chunky as I had to use a large symbol to make the cells with non-zero counts obvious.
# read in your sample data source("wp_data.R") library(plotrix) geomat<-makeDensityMatrix(geodat[,c("latitude","longitude")], xlim=range(geodat$longitude),ylim=range(geodat$latitude)) # Range of density (>0) - 1.119816 3.922018 latlim<-range(geodat$latitude) lonlim<-range(geodat$longitude) library(maps) map("world",xlim=lonlim,ylim=latlim) axis(1) axis(2) densityGrid(geomat,range.cex=c(1,5),xlim=lonlim,ylim=latlim, red=c(0.5,1),green=0,blue=0,pch=15) Jim On Wed, May 13, 2020 at 10:57 AM Poling, William via R-help <r-help@r-project.org> wrote: > > #RStudio Version Version 1.2.1335 > sessionInfo() > # R version 4.0.0 Patched (2020-05-03 r78349) > #Platform: x86_64-w64-mingw32/x64 (64-bit) > #Running under: Windows 10 x64 (build 17763) > > Hello I am trying to figure out how to create concentration of ID's in the > following data, based on determining the highest concentration in the > smallest radius area based on Longitude and Latitude (geo location) > > I have reviewed many websites looking for a function or tutorial, (if you are > aware of either please let me know) > ______________________________________________ R-help@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.