## Compute the neighborhood matrix.
neighbormatrix(x, type = c("boundary", "dist", "delaunay", "knear"),
k = 1, id = NULL, nb = FALSE, names = NULL, ...)
## Plot neighborhood structure.
plotneighbors(x, add = FALSE, ...)

## Arguments

x |
An object of class `"SpatialPolygons"` or `"SpatialPolygonsDataFrame"` . |

type |
Which type of neighborhood structure should be used,
`"boundary"` uses `poly2nb` , `"dist"`
uses function `dnearneigh` , `"delaunay"`
uses function `tri2nb` and option
`"knear"` applies function `knn2nb` . |

k |
For `type = "knear"` , specifies number of nearest neighbors. |

id |
An identifier variable for which the penalty matrix should be computed. |

nb |
Should only the neighborhood object be returned. |

names |
Specifies the column where the regions names are provided in the data
slot in the `"SpatialPolygonsDataFrame"` |

add |
Should the neighborhood structure be added to an existing plot? |

… |
Arguments to be passed to function `poly2nb` ,
`dnearneigh` , `tri2nb` or
`knn2nb` . |

## See also

## Examples

# NOT RUN {
data("LondonFire")
## Compute polygon boundary based
## neighborhood matrix.
nm <- neighbormatrix(LondonBoroughs)
print(nm)
## Plot neighborhood structures.
plotneighbors(LondonBoroughs)
plotneighbors(LondonBoroughs, type = "delaunay")
plotneighbors(LondonBoroughs, type = "dist", d1 = 0, d2 = 0.15)
# }