Produces simple plots of `varigram`

objects (semi-variance vs. time lag) and model semi-variance functions, with approximate confidence intervals around the semi-variance estimates.

# S3 method for variogram
plot(x,CTMM=NULL,level=0.95,units=TRUE,fraction=0.5,col="black",col.CTMM="red",xlim=NULL,
ylim=NULL,ext=NULL,...)
# S4 method for variogram
zoom(x,fraction=0.5,...)

## Arguments

x |
A `variogram` object calculated using `variogram` . |

CTMM |
A `ctmm` movement model object in the same format as the output of `ctmm.fit` or `variogram.fit` . |

level |
Confidence level of confidence bands (95% default CIs). Can be an array. |

units |
Convert axes to natural units. |

fraction |
The proportion of the variogram object, `variogram` , that will be plotted. By convention, half is shown. The tail end is generally garbage. |

col |
Color for the empirical variogram. Can be an array. |

col.CTMM |
Color for the model. Can be an array. |

xlim |
Range of lags to plot (in SI units). |

ylim |
Range of semi-variance to plot (in SI units). |

ext |
Plot extent alternative to `xlim` and `ylim` (see `extent` ). |

... |
Additional `plot` function parameters. |

## Value

Returns a plot of semi-variance vs. time lag, with the empirical variogram in black and the `ctmm`

semi-variance function in red if specified. `zoom`

includes a log-scale zoom slider to manipulate `fraction`

.

## References

C. H. Fleming, J. M. Calabrese, T. Mueller, K.A. Olson, P. Leimgruber, W. F. Fagan.
From fine-scale foraging to home ranges: A semi-variance approach to identifying movement modes across spatiotemporal scales.
The American Naturalist, 183:5, E154-E167 (2014) doi: 10.1086/675504
.

## Author

J. M. Calabrese and C. H. Fleming

## Note

The errors of the empirical variogram are correlated. Smooth trends are not necessarily significant.

## See also

## Examples