TrackLab version 2.13 includes three filter settings that help optimize tracking data:
This setting defines the maximum number of location data points recorded per second, per tag. If the incoming data exceeds this rate, TrackLab filters out the surplus. While sensor data such as accelerometer readings may come in at higher frequencies, the sample rate filter only limits the location data.
For large animals like cattle, a rate of 1 Hz is typically sufficient. Higher rates place more load on the database without improving analysis results. Smaller animals or more detailed analyses may benefit from higher rates.
This setting reduces short-term fluctuations (e.g., from noise or jittery movement) by averaging coordinates over a set number of samples. The window is centered around the focal sample.
For example, a window size of 25 samples calculates the average of 12 samples before, 12 samples after, and the focal sample. This reduces zig-zag movement paths and creates smoother tracks.
Default: Smoothing is enabled by default with a window size of 9.
This filter removes minimal displacements between samples that are likely due to signal noise. It improves the accuracy of total distance moved, especially when the subject is inactive (e.g., sitting or lying down).
The filter works by comparing consecutive distances. If the movement is smaller than the threshold, the position is assumed to have not changed, and the sample is adjusted accordingly.
Recommended MDM thresholds: