sahrlocs2niche {adehabitat} | R Documentation

## OMI Analysis of Radio-Tracking Data

### Description

`sahrlocs2niche` converts an object of class `sahrlocs` into a list that contains the arguments needed for a niche analysis (function `niche` in package `ade4`).

### Usage

    sahrlocs2niche(x, ani = names(x$hr), var = names(x$sa), used = c("hr",
    "locs"))

### Arguments

`x` | an object of class `sahrlocs`.
`ani` | a character vector giving the name of the animals in the analyses
`var` | a character vector giving the name of the variables in the analyses
`used` | a character string. If `"hr"`, the cells of the raster map that are considered used by the animals are taken from the `hr` component of the object `sahrlocs`, if `"locs"`, the cells of the raster map that are considered used by the animals are taken from the `locs` component (see `as.sahrlocs`))

### Value

Returns a list with three components:

`index` | a vector of integer giving the index of the rows of `x$sa` kept for the analysis (this component may then be used with the function `df2kasc`).
`tab` | the table on which the `dudi` analysis will be processed.
`y` | a table giving the weights of the niche analysis.

### Author(s)

Clément Calenge calenge@biomserv.univ-lyon1.fr

### References

Dolédec, S., Chessel, D. and Gimaret, C. (2000) Niche separation in community analysis: a new method. Ecology, 81, 2914–1927.

### See Also

`as.sahrlocs` for additional information on the objects of class `sahrlocs`, `niche` for an OMI analysis, and `kasc2df` for additional information on the `index` component of the output.

### Examples

    data(puechabon)
    sahr <- puechabon$sahr

    s <- sahrlocs2niche(sahr, used = "locs")

    # 1. dudi.mix of the dataset
    pc <- dudi.mix(s$tab, scannf = FALSE)

    # 2. niche analysis
    n <- niche(pc, s$y, scannf = FALSE)

    plot(n)

[Package adehabitat version 1.4 Index]