Learn more about handling periods of missing data in Debrief

Missing data

By default, Debrief joins all track points with straight lines.

But, when there is a period of missing data, the viewer of a report may mistakenly think the platform is on steady course and speed.

In circumnstances such as these, it would make more sense to split a track into several segments (legs).

A split in the track can be recognised by a period of missing data. Depending on the frequency of the data, a gap may be represented by one minute or one hour of missing data.

Here is an example of a track with missing periods of data.

Tracks with jumps

By splitting the track into segments, we can convey the periods of missing data.

Right-click menu

We’ve added a new right-click menu option for tracks. On selecting Split track into segments... a drop-down menu of time interval sizes is offered: split tracks menu

Once clicked, any selected tracks are inspected, being split into segments whenever there is a period of missing data greater than the provided threshold.

Here’s a split track.

split tracks

Formatting helper

Right-clicking on a track is fine for individual tracks, but if you’re processing a high volume of tracks, you may wish to auto-split them on missing data.

Learn more about them here: https://debrief.github.io/tutorial/reference.html#replay_format_annotations

This can be supported by inserting Formatting Helper instructions into a .rep file. These are commands that advice Debrief on how to process data loaded from that file.

See the instruction below:


This instructs Debrief to look out for any track called PLATFORM_HOST, and split it whenever there is a gap of 3.6 million milliseconds (that’s one hour in new money).

;SPLIT_TRACK: 48_Hours 172800000 

This instructs Debrief to split any track when there is a gap of more than 48 hours from the previous measured position.