csd_estimate {bamm} | R Documentation |

## csd_estimate: Estimate the connectivity suitability and dispersal plot

### Description

csd_plot gives an estimate of the number of geographic clusters given a set of dispersal hypothesis and a suitability raster

### Usage

```
csd_estimate(model, dispersal_steps = c(2, 4, 8, 16, 32, 64))
```

### Arguments

`model` |
A raster model or a setA object representing the suitability model |

`dispersal_steps` |
A numeric vector with elements representing the dispersal hypothesis to test. |

### Details

For more information about the Connectivity-Suitability-Diagram
see `bam_clusters`

### Value

A list of length three. The first element contains the Connectivity- Suitability-Diagram information estimated for each element in the vector of dispersal_steps. The second is tbl_df object with a summary of the number of cluster of each dispersal step and the mean number of connected clusters. The last element is base plot showing the information contained in the tbl_df object.

### Author(s)

Luis Osorio-Olvera & Jorge SoberĂ³n

### References

SoberĂ³n J, Osorio-Olvera L (2023).
“A dynamic theory of the area of distribution.”
*Journal of Biogeography6*, **50**, 1037-1048.
doi:10.1111/jbi.14587, https://onlinelibrary.wiley.com/doi/abs/10.1111/jbi.14587..

### Examples

```
model_path <- system.file("extdata/Lepus_californicus_cont.tif",
package = "bamm")
model <- raster::raster(model_path)
model <- model > 0.7
csd_plot <- bamm::csd_estimate(model,
dispersal_steps=c(2,4,8))
csd_plot$plot
```

*bamm*version 0.5.0 Index]