R: Generate spatial weights from prabclus neighborhood list

build.nblist {prabclus} | R Documentation

## Generate spatial weights from prabclus neighborhood list

### Description

This generates a `listw`-object as needed for estimation of a simultaneous autoregression model in package `spdep` from a neighborhood list of the type generated in `prabinit`.

### Usage

    build.nblist(prabobj,prab01=NULL,style="C")

### Arguments

`prabobj` | object of class `prab`.
`prab01` | presence-absence matrix of same dimensions than the abundance matrix of `prabobj`. This specifies the presences and absences on which the presence/absence step of abundance-based tests is based (see details). If `NULL` (which is usually the only reasonable choice), `prab01` is computed in order to indicate the nonzeroes of `prabobj$prab`.
`style` | can take values "W", "B", "C", "U", and "S" though tests suggest that "C" should be chosen. See `nb2listw`.

### Value

A 'listw' object with the following members:

`style` | see above.
`neighbours` | the neighbours list in `spdep`-format.
`weights` | the weights for the neighbours and chosen style, with attributes set to report the type of relationships (binary or general, if general the form of the glist argument), and style as above.

### Author(s)

Christian Hennig chrish@stats.ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche

### See Also

`nb2listw` (which is called)

### Examples

    # Not run; requires package spdep
    # data(siskiyou)
    # x <- prabinit(prabmatrix=siskiyou, neighborhood=siskiyou.nb,
    #             distance="logkulczynski")
    # build.nblist(x)

[Package prabclus version 2.2-6 Index]