Parallel calculate home range separately — par_hrange

Sometimes you may want to calculate home range individually, because calculate them in same grid could take significant memory when individuals are spread out.

par_hrange_each(
  tele_list,
  model_list,
  weight_list,
  cores = NULL,
  parallel = TRUE
)

Arguments

tele_list	`ctmm::as.telemetry()` telemetry list
model_list	Corresponding `ctmm` model list for `tele_list`
weight_list	List of True/False in same order of tele_list. Used for optimal weighting parameter in `ctmm::akde()`.
cores	the core count to be used for cluster. Could be a positive integer or Default `NULL` value will indicate to use a heuristic value based on detected cores, which is roughly `min(input_size, physical_cores_count * n)`, `n` being 2 for windows, 4 for Mac/Linux. See `parallel::detectCores()` for more information on physical/logical cores in different platforms. A negative value like `-2` will use `all available cores - 2`, so that 2 cores are reserved for user's other tasks.
parallel	Use regular `lapply()` when FALSE. You may notice more console messages in this mode because the console messages in parallel mode are lost by default as they happened in other threads.

Value

List of home ranges