spdep (version 0.4-2)

nbcosts: Compute cost of edges

Description

The cost of each edge is the distance between it nodes. This function compute this distance using a data.frame with observations vector in each node.

Usage

nbcost(data, id, id.neigh,  method = c("euclidean", "maximum", 
    "manhattan", "canberra", "binary", "minkowski", "mahalanobis", 
    "other"), p = 2, cov, inverted = FALSE, otherfun)
nbcosts(nb, data,  method = c("euclidean", "maximum", 
    "manhattan", "canberra", "binary", "minkowski", "mahalanobis", 
    "other"), p = 2, cov, inverted = FALSE, otherfun)

Arguments

nb

An object of nb class. See poly2nb for details.

data

A matrix with observations in the nodes.

id

Node index to compute the cost

id.neigh

Idex of neighbours nodes of node id

method

Character for declare the distance method. For "euclidean", "maximum", "manhattan", "canberra", "binary" and "minkowisk", see dist for details, because this function as used to compute the di

p

The power of the Minkowski distance.

cov

The covariance matrix used to compute the mahalanobis distance.

inverted

logical. If 'TRUE', 'cov' is supposed to contain the inverse of the covariance matrix.

otherfun

A user defined function to compute the distance

Value

• A object of nbdist class. See nbdists for details.

See Also

See Also as nbdists, nb2listw