Create a summary of the quality of each track

This function creates a summary of the quality of each track in a move2 object. It calculates the median sampling interval, track duration, expected number of points, actual number of points, and the proportion of expected points that are missing (due to gaps in track).

Usage

track_summary_health(x)

Arguments

x

A move2 object

Value

A tibble with one row per track and the following columns:

• <track id column>: The track ID from x

• median_sampling_interval: The median sampling interval in seconds

• track_duration: The duration of the track in seconds

• expected_points: The expected number of points based on the median sampling interval

• actual_points: The actual number of points in the track

• proportion_missing: The proportion of expected points that are missing

Examples

track_summary_health(example_tt)
#> # A tibble: 3 × 6
#>   track_id median_sampling_interval track_duration expected_points actual_points
#>   <fct>                       <dbl>          <dbl>           <int>         <int>
#> 1 a                            1200           4800               5             5
#> 2 b                            1200           4800               5             5
#> 3 c                            1200           4800               5             5
#> # ℹ 1 more variable: proportion_missing <dbl>