Table 3. Summary of the strengths and weaknesses of the home range estimators examined in this study.

Method	Strengths	Weaknesses	Requirements	Suitability
GCM	• Comparable to other studies • Identifies areas of importance • High AUC	• Sensitive to sample size • Cannot handle barriers well • Largely biased by cell size selected • Interpretation is sensitive to intervals displayed • Time not a factor	• Knowledge of group spread, locational accuracy • Not using 100% points	• Supplement other estimators to look at finer detail of high use areas
a-LoCoH & T-LoCoH	• Identifies complex barriers or inaccessible areas • Incorporates time (T-LoCoH) • Robust area estimate with changing sample size or sampling frequency	• Underestimates home range area • No allowance for location uncertainties • Low and variable AUC • User-controlled process in selecting output	• Large dataset • High temporal correlation (T-LoCoH) • Knowledge of natural barriers	• Conservation planning to identify barriers or predator avoidance • Range overlap between groups/species • Core area along sharp barriers
BRB	• Incorporates time • High AUC • Robust area estimates with fix failures • Accounts for location uncertainties • Area robust in variation of parameters selected (Tmax and Lmin)	• Reduced barrier detection as barrier complexity increases • Cannot detect behavioural or biological barriers • Sensitive to decreased sampling frequency	• Species-specific knowledge, locational accuracy • High temporal correlation • Knowledge of natural barriers • At least 200 locations	• Area estimates • Home range for species living along definite habitat edges • Studies with less precise records and more irregular fix success

Grid-cell method (GCM), adaptive local convex hull (a-LoCoH), adaptive time local convex hull (T-LoCoH) and biased random bridges (BRB).