nbcosts

nbcost

An object of <code>nb</code> class. See <code><a href="/link/poly2nb?package=spdep&version=0.5-74" rd-options="" data-mini-rdoc="spdep::poly2nb">poly2nb</a></code> for
    details.

data

Idex of neighbours nodes of node <code>id</code>

id.neigh

Character or function to declare distance method.
    If <code>method</code> is character, method must be "mahalanobis" or
    "euclidean", "maximum", "manhattan", "canberra", "binary"
    or "minkowisk".
    If <code>method</code> is one of "euclidean", 

method

The covariance matrix used to compute the mahalanobis 
   distance.

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

inverted

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.

cluster

spatial

A collection of functions to create spatial weights matrix
  objects from polygon contiguities, from point patterns by distance and
  tessellations, for summarizing these objects, and for permitting their
  use in spatial data analysis, including regional aggregation by minimum
  spanning tree; a collection of tests for spatial autocorrelation,
  including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross
  product statistic, Empirical Bayes estimates and Assunção/Reis Index,
  Getis/Ord G and multicoloured join count statistics, local Moran's I
  and Getis/Ord G, saddlepoint approximations  and exact tests for global
  and local Moran's I; and functions for estimating spatial simultaneous
  autoregressive (SAR) lag and error models, impact measures for lag
  models, weighted and unweighted SAR and CAR spatial regression models,
  semi-parametric and Moran eigenvector spatial filtering, GM SAR error
  models, and generalized spatial two stage least squares models.

nbcosts: Compute cost of edges

Description

Usage

Arguments

Value

See Also