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Map of France in 1830 with the Guerry data, excluding Corsica

Source: R/gfrance85.R
gfrance85.Rd

gfrance85 is a SpatialPolygonsDataFrame object created with the sp package, containing the polygon boundaries of the map of France as it was in 1830, together with the Guerry data frame. This version excludes Corsica, which is an outlier both in the map and in many analyses.

Format

The format is: Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots:

  • gfrance85@data,

  • gfrance85@polygons,

  • gfrance85@plotOrder,

  • gfrance85@bbox,

  • gfrance85@proj4string.

The analysis variables are described in Guerry. See: sp::SpatialPolygonsDataFrame() for descriptions of some components.

Source

Friendly, M. (2007). Supplementary materials for Andre-Michel Guerry's Moral Statistics of France: Challenges for Multivariate Spatial Analysis, http://datavis.ca/gallery/guerry/.

Details

In the present version, the PROJ4 projection is not specified.

References

Dray, S. and Jombart, T. (2009). A Revisit Of Guerry's Data: Introducing Spatial Constraints In Multivariate Analysis. Unpublished manuscript.

Friendly, M. (2007). A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis. Statistical Science, 22, 368-399.

Examples


data(gfrance85)
require(sp)
require(scales)
#> Loading required package: scales
plot(gfrance85)   # plot the empty outline map


# extract some useful components
df <- data.frame(gfrance85)[,7:12]       # main moral variables
xy <- coordinates(gfrance85)             # department centroids
dep.names <- data.frame(gfrance85)[,6]
region.names <- data.frame(gfrance85)[,5]
col.region <- colors()[c(149,254,468,552,26)] |>
  scales::alpha(alpha = 0.2)


# plot the map showing regions by color with department labels
op <-par(mar=rep(0.1,4))
plot(gfrance85,col=col.region[region.names])
text(xy, labels=dep.names, cex=0.6)

par(op)