adehabitatHR home range estimation is too small

Question

I have lat/long data of two animals tracked in Western Australia and I'd like to find their home ranges using adehabitatHR.

library(sp)
library(rgdal)
library(raster)
library(adehabitatHR)
library(sf)

quolls<-read.csv("quolls.csv")
head(quolls)

Latitude Longitude animal_ID 1 -22.62271 117.1247 1 2 -22.62286 117.1246 1 3 -22.62192 117.1223 1 4 -22.62021 117.1224 1 5 -22.61989 117.1244 1 6 -22.62022 117.1260 1

But the home range estimates of each animal are obviously too small. I think the EPSG must be wrong but after a very long time looking I still can't find the right one.

Can anyone point me in the right direction please?

# make a SpatialPoints dataframe without a CRS
quolls2 <- quolls
quoll.latlong<-data.frame(x=quolls2$Longitude,y=quolls2$Latitude)
coordinates(quolls2) <- quoll.latlong

# add crs
proj4string(quolls2) <- CRS(SRS_string = "EPSG:4283")

mcp<-mcp(quolls2[,7],percent=95,unout = c("ha")) 
mcp

Home range for animal 1 is 1.217428e-08 and animal 2 is 6.253689e-08.

And likewise with kernel density estimation;

quoll_ud <- adehabitatHR::kernelUD(quolls2[7],grid = 450)
quoll_hr <- adehabitatHR::getverticeshr(quoll_ud, 99)
print(quoll_hr)

which estimates animal 1 at 2.36917592701502e-08 and animal 2 at 1.16018636413173e-07.

Answer 1

Just stumbled across the answer.. it's EPSG 28350.

I got it to work in the end by abandoning the raw lats and longs and instead importing a shapefile I had of the animal data with st_read. Then st_transform to 28350. Then as mcp accepts only SpatialPoints, I converted the object with as(obj, "Spatial").