Two ways in | Angle conventions | Coordinates and calibration | Map every column yourself | Time | Failures are information | Heading rules and attrition | Tests | Pitfalls

Overview | Loading a Real Experiment | Step 1 — discover files | Step 2 — read the manifest | Step 3 — extract and normalise trajectories | dtrack format | Tracking-tool format support | Bundled single-file examples | Reading Tabular Trajectories | Manifest Helpers (Synthetic Example) | Registering a Custom Dialect

Overview | A heading data frame | Dispersion summaries | Parametric fits | Hypothesis tests | Uniformity | Equal mean directions | Equal concentrations | Model selection | Circular correlation | Circular regression | Distribution overlays | Per-group overlays | Significance geometry | Periodic data: time of day or year | Where next

Overview | Path length | Restricting to within the circumference | Straightness and tortuosity | Sinuosity | Goal-directed paths and zone occupancy | See also

Rich objects, only where structure is irreducible | Everything else is a plain tibble, in and out | headings_frame: a dplyr-durable tibble subclass

Units and conversions | How the spectrum changes with depth | Building a visual model | Reflectance to radiance | Colour discrimination | Validation against pavo | Interoperating with pavo | Interoperating with colourvision | Validation against colourvision

1. Sunlight to depth | 2. Light to capture | 3. Capture to detection | Summary

Loading field data | Converting units | Validation against photobiology | PAR across depth | Fitting attenuation from measurements | Extending to depth with a Jerlov model | Band-integrated irradiance | Photic depth

The model | Degree of polarization across the sky | How polarization fades with depth | The e-vector