gfrance85: Map of France in 1830 with the Guerry data, excluding Corsica

In Guerry: Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"

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

Description

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.

Details

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

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/.

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 Unpublished manuscript.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)
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)

Guerry documentation built on Sept. 15, 2026, 1:09 a.m.