Computes the spatial correlation coefficient (Moran's I) of a vector given a distance matrix, and a distance threshold used to define "neighborhood".

moran(
x = NULL,
distance.matrix = NULL,
distance.threshold = NULL,
verbose = TRUE
)

## Arguments

x |
Numeric vector, generally model residuals, Default: `NULL` |

distance.matrix |
Distance matrix among cases in `x` . The number of rows of this matrix must be equal to the length of `x` . Default: `NULL` |

distance.threshold |
numeric value in the range of values available in `distance.matrix` . Distances below such threshold are set to 0. Default: `NULL` (which defaults to 0). |

verbose |
Logical, if `TRUE` , prints a Moran's I plot. Default: `TRUE` |

## Value

A list with three named slots:

`test`

: Data frame with observed and expected Moran's I values, p-value, and interpretation.

`plot`

: Moran's plot of the vector x against the spatial lags of x.

`plot.df`

: Data used in the Moran's plot.

## Details

Inspired in the `Moran.I()`

function of the ape package.

## See also

## Examples