# Plotting methods for variogram objects.

### Description

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.

### Usage

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### Arguments

`x` |
A |

`CTMM` |
A |

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

`fraction` |
The proportion of the variogram object, |

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

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

`...` |
Additional |

### Value

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

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

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

.

### Note

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

### Author(s)

J. M. Calabrese and C. H. Fleming

### References

C. H. Fleming, J. M. Calabrese, T. Mueller, K.A. Olson, P. Leimgruber, and W. F. Fagan. (2014). 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.

### See Also

`ctmm.fit`

, `plot`

, `variogram`

, `variogram.fit`

.

### Examples

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