Description Usage Arguments Details Value Note Author(s) See Also

Given a `ctmm`

movement model and `telemetry`

data, `speed`

simulates multiple realizations of the animal's trajectory and estimates the average speed, which is proportional to distance traveled. Both tortuosity (non straight-line motion between the data) and telemetry error can be accounted for. Given only a `ctmm`

movement model and no data, `speed`

calculates the average speed of the Gaussian movement process.

1 2 3 4 5 6 7 8 9 |

`object` |
A |

`data` |
Optional |

`CTMM` |
Movement model object. |

`level` |
Confidence level to report on the estimated average speed. |

`prior` |
Account for model uncertainty. |

`fast` |
Whether or not to invoke the central-limit theorem (see |

`cor.min` |
Velocity correlation threshold for skipping gaps. |

`dt.max` |
Absolute gap sizes to skip (in seconds), alternative to |

`error` |
Target (relative) standard error. |

`cores` |
Number of simulations to run in parallel. |

`...` |
Arguments passed to |

The `cor.min`

or `dt.max`

arguments are used to constrain the estimate to be derived from simulations near the data, and therefore ensure that the estimate is more reflective of the data than the model.

Returns the estimated mean speed of the sampled trajectory with CIs by default. If `level=NULL`

, then the ensemble of mean speeds is returned instead.

The average speeds estimated here are mean speeds. The speeds reported by `summary.ctmm`

are root-mean-square (RMS) speeds. These quantities are sometimes proportional, but not equivalent.

C. H. Fleming.

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