Description Usage Arguments Value Note Author(s) References See Also Examples

This function returns a list of biologically interesting parameters in human readable format, as derived from an autocorrelated kernel density estimate.

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`object` |
An |

`level` |
Confidence level for the above area estimate. E.g., the 95% confidence interval of the 50% core area. |

`level.UD` |
Coverage level for the home-range area. E.g., the 50% core area. |

`units` |
Convert result to natural units. |

`...` |
Unused options. |

A `matrix`

with low, maximum likelihood, and high estimates for the following parameters:

`area`

The home-range area with fraction of inclusion

`level.UD`

. E.g., the 50% core home range is estimated with`level.UD=0.50`

, and 95% confidence intervals are placed on that area estimate with`level=0.95`

.This kernel density estimate differs from the Gaussian estimate of

`summary.ctmm`

. The Gaussian estimate has more statistical efficiency, but is less related to space use for non-Gaussian processes.

Prior to `ctmm`

v0.3.1, AKDEs included only errors due to autocorrelation uncertainty, which are insignificant in cases such as IID data.
Starting in v0.3.1, `akde`

calculated an effective sample size `DOF.H`

and used this to estimate area uncertainty under a chi-square approxmation.
Starting in v0.3.2, this method was improved to use `DOF.area`

in the Gaussian reference function approximation.

C. H. Fleming.

C. H. Fleming, J. M. Calabrese. A new kernel-density estimator for accurate home-range and species-range area estimation. Methods in Ecology and Evolution, 8:5, 571-579 (2016).

`akde`

.

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ctmm-initiative/ctmm documentation built on Aug. 16, 2018, 6:50 a.m.

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