Description Usage Arguments Details Value Author(s) Examples

View source: R/landscape.mig.matrix.R

Creates a binary matrix representing the migration between a set of 'h' populations containing 's' life stages each. This matrix can be based on a given migration model or on a custom matrix

1 2 | ```
landscape.mig.matrix(h=3,s=2,mig.model="island",first.rep.s=s,
h.dim=NULL, distance.fun=NULL, distance.factor=1, R.custom = NULL, ...)
``` |

`h` |
habitats (default=3), the number of different subpopulations within the landscape |

`s` |
stages (default=2), the number of stages in the life cycle of the organism |

`mig.model` |
migration model (default="island"), the migration model to be used to make the matrix. Choices are '"island", "stepping.stone.linear", "stepping.stone.circular", "twoD", "twoDwDiagonal", "distance","custom"'. See details. |

`first.rep.s` |
first reproductive life stage (default=s), the life stage at which the organism starts to reproduce |

`h.dim` |
rectangular arrangement of populations (default=NULL). vector of length 2 showing the distribution of populations in rows and columns when the model of evolution is equal to "twoD" or "twoDwDiagonal". |

`distance.fun` |
function to calculate migration (default=NULL), an user created function that uses the distance between each population to calculate the migration rate between those two populations if the migration model is equal to "distance". |

`distance.factor` |
distance factor (default=1), the distance between each adjacent population if the migration model is equal to "distance" |

`R.custom` |
custom migration matrix (default=NULL), migration matrix with 'h' by 'h' dimensions to be used to create the larger 'h*s' by 'h*s' matrix if the migration model is equal to "custom" |

`...` |
additional arguments passed to 'distance.fun' |

This function can work on three different ways:

With a given migration modelThis will take in consideration one of the predefined migration models to create the migration matrix.

"island"Migration occurs among all the populations in the model.

"stepping.stone.linear"The populations are distributed linearly and migration only occurs between the adjacent populations.

"stepping.stone.circular"Similar to "stepping.stone.linear", but the populations are distributed in a circle so there is migration between the first and the last population.

"twoD"The populations are distributed in two dimensions. It is necessary to provide the "h.dim" term in order to determine the distribution of the populations in rows and columns respectively. Migration only occurs between populations that are adjacent to each other

"twoDwDiagonal"Similar to "twoD", but within a square formed by four populations (two rows and two columns) there is migration in the diagonal

With a custom migration matrixThis requires the user to provide the "R.custom" argument. In this case the function will expand the migration pattern given on "R.custom" to encompass all life stages. For the function to work this way the "mig.model" term must be equal to "custom".

With a distance functionsThis requires a function that shows how migration changes with changing distance. The "distance.fun" is very versatile and the use of "..." allows the functions to accept extra terms. The "distance.factor" term allows the user to change the distance between the populations to facilitate the use of distance functions that work on greater or smaller scales. It is necessary to provide the "h.dim". It is necessary to provide the "h.dim" term in order to determine the distribution of the populations in rows and columns respectively. It is possible to have a linear distribution of populations if one of the terms of "h.dim" is equal to 1. For the function to work this way the "mig.model" term must be equal to "distance".

`R` |
Matrix containing the final result from the function call. This should be a "h*s" by "h*s" matrix indicating what life stages from what populations migrate to the first life stage of what populations. When the "mig.model" is equal to distance this matrix will indicate the rate of migration between the populations instead of if it just occurs or not. |

`h` |
the number of different subpopulations |

`s` |
the number of stages in the life cycle of the organism |

`mig.model` |
the migration model used to make the matrix |

`first.rep.s` |
the life stage at which the organism starts to reproduce |

`R.int` |
A "h" by "h" matrix indicating the migration pattern. If "mig.model" is equal to custom, "R.int" will be equal to "R.custom". |

Artur Veloso and Allan Strand

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
#Circular stepping stone migration model
landscape.mig.matrix(s=3,h=4,mig.model="stepping.stone.linear",first.rep.s=2)
#Two dimensions with diagonal migration model
landscape.mig.matrix(h=18,h.dim=c(3,6),s=2,mig.model="twoDwDiagonal")
#Using a custom migration matrix
R.custom <- matrix(c(0, 0, 1, 0,
1, 0, 1, 0,
1, 0, 0, 0,
1, 0, 1, 0), ncol=4,nrow=4,byrow=TRUE)
landscape.mig.matrix(s=3,h=4,first.rep.s=2,mig.model="custom",R.custom=R.custom)
#Using a distance function. Notice that the distance function requires
#the argument "lambda" that can be given in the "make.mig.matrix"
#function call.
my.dist <- function(distance,lambda) {exp(-distance*lambda)}
landscape.mig.matrix(h=18,h.dim=c(3,6),s=2,mig.model="distance",distance.fun=my.dist,lambda=1)
``` |

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