hrDiag: Sensitivity diagnostics for home range estimates

In lsw5077/DiagnoseHR: Simulations and Diagnostics for home range estimates

Description

hrDiag, assesses the role of individual relocations in driving estimate sensitivity by displaying how estimated home range size changes as individual relocations are iteratively removed.

Usage

hrDiag(locs = NULL, type = "mcp", ID = locs$ID, levels = 90,
  percent = 95, a = NULL, unin = "m", unout = "ha", plotit = F,
  grid = 60, same4all = F, kern = "bivnorm", extent = 1,
  duplicates = "random", hlim = c(0.5, 1.5), arange = NULL,
  amount = "NULL", h = "href")

Arguments

locs	is a SpatialPointsDataFrame containing coordinates(x,y) and a column of individual identifiers (ID).
type	Defaults to 'mcp'. Options include 'mcp', 'kud' and 'LoCoH'
ID	is a column from locs, and will be used for referencing individual-level diagnostics.
...	further arguments, including optional home range arguments from adeHabitatHR

Examples

hrDiag(locs, type = 'mcp', ID = locs$ID)

lsw5077/DiagnoseHR documentation built on Aug. 16, 2019, 11:33 a.m.