irishdata {ade4} | R Documentation

## Geary's Irish Data

### Description

This data set contains geographical informations about 25 counties of Ireland.

### Usage

    data(irishdata)

### Format

`irishdata` is a list of 11 objects.

area
  is a data frame with polygons for each of the 25 contiguous counties.
county.names
  is a vector with the names of the 25 counties.
xy
  is a data frame with the coordinates centers of the 25 counties.
tab
  is a data frame with 25 rows (counties) and 12 variables.
contour
  is a data frame with the global polygon of all the 25 counties.
link
  is a matrix containing the common length between two counties from `area`.
area.utm
  is a data frame with polygons for each of the 25 contiguous counties expressed in Universal Transverse Mercator (UTM) coordinates.
xy.utm
  is a data frame with the UTM coordinates centers of the 25 counties.
link.utm
  is a matrix containing the common length between two counties from `area.utm`.
tab.utm
  is a data frame with the 25 counties (explicitly named) and 12 variables.
contour.utm
  is a data frame with the global polygon of all the 25 counties expressed in UTM coordinates.

### Source

Geary, R.C. (1954) The contiguity ratio and statistical mapping. The incorporated Statistician, 5, 3, 115–145.

Cliff, A.D. and Ord, J.K. (1973) Spatial autocorrelation, Pion, London. 1–178.

### Examples

    data(irishdata)
    par(mfrow = c(2,2))
    area.plot(irishdata$area, lab = irishdata$county.names, clab = 0.75)
    area.plot(irishdata$area)
    apply(irishdata$contour, 1, function(x) segments(x[1],x[2],x[3],x[4],
        lwd = 3))
    s.corcircle(dudi.pca(irishdata$tab, scan = FALSE)$co)
    score <- dudi.pca(irishdata$tab, scan = FALSE, nf = 1)$li$Axis1
    names(score) <- row.names(irishdata$tab)
    area.plot(irishdata$area, score)
    par(mfrow = c(1,1))

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