29 December 2021 2 5K Report

I am trying to calculate KDE home ranges for 50 polar bears for a research project. The bears were collared with Argos GPS collars, and each bear has around 200 locations (one location/day).

I am hesitating between using the Least-squares cross validation method (LSCV) or plugin to estimate the h smoothing factor; given my dataset, which of the two would be the best method?

Any advice would be appreciated!

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