AdehabitatHR::kernelUD error, geographical CRS given to non-conformant data

I am trying to perform the simple task of estimating a kernel density utilisation distribution across the foraging tracks of all females in my data set (just a visualisation exercise), and have opted for the kernelUD function within the adehabitatHR package in R.

I can set up a simple example of the SpatialPoints object I have been working with, which is formatted in long-lat format.

female <- filter(tracks, Sex == "Female") # check the range of the longitude and latitude range(female[,c("Latitude")]) [1] 20.71389 84.20619 range(female[,c("Longitude")]) [1] -23.85262 105.20330 # make the SpatialPoints object sp.female <- SpatialPoints(coords = female[,c("Longitude", "Latitude")], proj4string = CRS("+proj=longlat +ellps=WGS84")) 

So no points are outside of the expected range for either longitude or latitude, but when I then try and perform the kernelUD:

kd.female <- kernelUD(sp.female, h = "href") Error in `proj4string<-`(`*tmp*`, value = CRS(pfs1)) : Geographical CRS given to non-conformant data: -105.076705907 

This data point does not appear in the object I am working with, so I am at a loss as to how to troubleshoot the error.

I'm running the following package versions on R v3.6.3

> packageVersion('adehabitatHR') [1] ‘0.4.19’ > packageVersion('rgdal') [1] ‘1.5.23’ > packageVersion('sp') [1] ‘1.4.5’ 

Thanks in advance for any help.

1 Answer

I have found that transforming to UTM appears to fix the problem, but I would be keen to know why the kernelUD function does not work on data where the coordinates are formatted in classic longitude and latitude.