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This data set gives the road distances between 15 European capitals and their coordinates.

Usage

data(capitales)

Format

capitales is a list with the following components:

xy

a data frame containing the coordinates of capitals

area

a data frame containing three variables, designed to be used in area.plot function

logo

a list of pixmap objects, each one symbolizing a capital

Spatial

an object of the class SpatialPolygons of sp, containing the map

dist

a dist object the road distances between 15 European capitals

Examples

data(capitales)
attr(capitales$dist, "Labels")
#>  [1] "Madrid"     "Paris"      "London"     "Dublin"     "Rome"      
#>  [6] "Brussels"   "Amsterdam"  "Berlin"     "Copenhagen" "Stockholm" 
#> [11] "Luxembourg" "Helsinki"   "Vienna"     "Athens"     "Lisbon"    
index <- pmatch(tolower(attr(capitales$dist, "Labels")), names(capitales$logo))
w1 <- capitales$area

if(adegraphicsLoaded()) {
  if(requireNamespace("sp", quietly = TRUE)) {
    g1 <- s.label(capitales$xy, lab = rownames(capitales$xy), porigin.include = FALSE, 
      plot = FALSE)
    g2 <- s.logo(capitales$xy[sort(rownames(capitales$xy)), ], capitales$logo, 
      Sp = capitales$Spatial, pbackground.col = "lightblue", pSp.col = "white", pgrid.draw = FALSE, 
      plot = FALSE)
    g3 <- table.value(capitales$dist, ptable.margin = list(b = 5, l = 5, t = 15, r = 15), 
      ptable.x.tck = 3, ptable.y.tck = 3, plot = FALSE)
    g4 <- s.logo(pcoscaled(lingoes(capitales$dist)), capitales$logo[index], plot = FALSE) 
    
    G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))
  }
  
} else {
  if(requireNamespace("pixmap", quietly = TRUE)) {
    par(mfrow = c(2, 2))
    s.label(capitales$xy, lab = attr(capitales$dist, "Labels"), include.origin = FALSE)
    area.plot(w1)
    rect(min(w1$x), min(w1$y), max(w1$x), max(w1$y), col = "lightblue")
    invisible(lapply(split(w1, w1$id), function(x) polygon(x[, -1], col = "white")))
    s.logo(capitales$xy, capitales$logo, klogo = index, add.plot = TRUE, 
     include.origin = FALSE, clogo = 0.5) # depends on pixmap
    table.dist(capitales$dist, lab = attr(capitales$dist, "Labels")) # depends on mva
    s.logo(pcoscaled(lingoes(capitales$dist)), capitales$logo, klogo = index, clogo = 0.5) 
      # depends on pixmap
    par(mfrow = c(1, 1))
  }
  }