moran.plot {spdep} | R Documentation

## Moran scatterplot

### Description

A plot of spatial data against its spatially lagged values, augmented by reporting the summary of influence measures for the linear relationship between the data and the lag. If zero policy is TRUE, such observations are also marked if they occur.

### Usage

    moran.plot(x, listw, zero.policy=FALSE, spChk=NULL, labels=NULL,
     xlab=NULL, ylab=NULL, quiet=FALSE, ...)

### Arguments

`x` | a numeric vector the same length as the neighbours list in listw
`listw` | a `listw` object created for example by `nb2listw`
`zero.policy` | if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA
`spChk` | should the data vector names be checked against the spatial objects for identity integrity, TRUE, or FALSE, default NULL to use `get.spChkOption()`
`labels` | character labels for points with high influence measures, if set to FALSE, no labels are plotted for points with large influence
`xlab` | label for x axis
`ylab` | label for x axis
`quiet` | if TRUE, output of summary of influence object suppressed
`...` | further graphical parameters as in `par(..)`

### Value

The function returns an influence object from `influence.measures`.

### Author(s)

Roger Bivand Roger.Bivand@nhh.no

### References

Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. pp. 111–125 in M. M. Fischer, H. J. Scholten and D. Unwin (eds) Spatial analytical perspectives on GIS, London, Taylor and Francis; Anselin, L. 1995. Local indicators of spatial association, Geographical Analysis, 27, 93–115

### See Also

`localmoran`, `summary.infl`

### Examples

    data(afcon)
    moran.plot(afcon$totcon, nb2listw(paper.nb),
     labels=as.character(afcon$name), pch=19)
    moran.plot(scale(afcon$totcon), nb2listw(paper.nb),
     labels=as.character(afcon$name), xlim=c(-2, 4), ylim=c(-2,4), pch=19)

[Package spdep version 0.4-56 Index]