I am trying to calculate the home range area using mcp.area from the 'adehabitat' package.
x<-c(689361,689041,689448,688871,688745,689302,690479,691284,689456, 689348,689438,689427,694824,689685,689871,689937,688933,689040,277847, 279256,279565,280644,280649,280653,280649,280232,280764) y<-c(5356269,5356336,5356119,5356644,5356552,5357079,5356998,5360674, 5362240,5362479,5362552,5362588,5357394,5350680,5350868,5351181,5349515, 5349975,5359887,5362338,5362022,5362872,5362877,5362882,5362854,5363839,5362793) zone<-c(14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,15,15,15,15,15,15, 15,15,15) ID<-c(4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015, 4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015,4015) xy.data<-data.frame(ID,x,y,zone) xy<-data.frame(x,y) homerange<-mcp(xy, ID, percent = 95) area.plot(homerange) # plot the home range points(xy, pch = 16,col='red') # add in the relocation points homerange.size <- mcp.area(xy, ID,percent = 95,unin = c("m"),unout = c("km2"), plotit = FALSE) homerange.size The problem that I am having is that movement occurred across two UTM zones, which is inflating the home range area. What can I do to correct this, I am sure there is an easy work around that I am missing? Any insight would be appreciated. Thanks! [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo