Aggregate Predicted Tracks to Per-Trip H3 Effort — aggregate_trip

Prepares tracks with time intervals and H3 cell assignment via prepare_tracks_for_effort(), then summarises fishing hours per (trip, h3_index, year) combination. Used to build the effort matrix for CPUE estimation.

Usage

aggregate_trip_effort(
  tracks,
  h3_res,
  max_gap_hours = 0.25,
  gap_policy = c("cap", "drop")
)

Arguments

tracks: A data frame of predicted fishing points with columns trip, timestamp, latitude, longitude.
h3_res: Integer (0-15). H3 resolution for cell assignment.
max_gap_hours, gap_policy: How silent stretches of a track are counted, passed to prepare_tracks_for_effort() and forwarded by model_cpue(). The defaults match aggregate_pds_effort(), so CPUE is per hour of the same effort the H3 grid reports; raising them inflates the denominator and lowers CPUE.

Value

A tibble with columns trip, h3_index, year, fishing_hours.