Well, have you looked to see what: https://cran.r-project.org/web/views/Spatial.html
has to offer? And, if so, why did you not follow their advice to post on the r-sig-geo list; if not, you should consider posting there rather than here. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Dec 7, 2016 at 9:53 AM, Jackson Hooten <jlhoo...@eckerd.edu> wrote: > Hello everyone, > I am new to R and need help with a project I am currently running. I am > tracking about 24 great white sharks in Mossel Bay South Africa. I wish to > summarize these sharks' movements in and around the bay. In order to do > that I have a shapefile of a map that I wish to import into R and use as a > base layer to show the movements of the sharks. I have been searching > everywhere online, but cannot seem to find anything that can show me how to > import such a shapefile. Any advise? > > On top of that, I also wish to do a kernel density estimation of these > sharks' movements on the map. My data consists of "x" and "y" (Latitude and > Longitude) coordinates of where the sharks pinged, the date, and their ID. > So far, I have been able to figure out some codes that will get me what I > need as far as the kernel density estimations go. > > Code example: >> kud.href<-kernelUD(shark.sp[,"id"], h="href", hlim=c(0.01,0.5), grid=500, > extent=0.1) >> image(kud.href,col=rev(heat.colors(50))) > > However, whenever I run this code: >> kud95<-getverticeshr(kud,percent=95) > I get this error message: > Error in getverticeshr.estUD(x[[i]], percent, ida = names(x)[i], unin, : > The grid is too small to allow the estimation of home-range. > You should rerun kernelUD with a larger extent parameter > > Could anyone advise me on how to solve this problem? I have already tried > to increase the "grid" as well as the "extent parameter" but continuously > get this same error message. I read online somewhere, that one could use > the "SpatialPixels" function to solve the problem, but they never put an > example up, so I have no idea how to apply it. Thank you so much for your > patience and assistance. > > Sincerely, > Jackson > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.
